Wednesday, September 2, 2009

Online learning 1 - Adoption & implementation of innovations


Three challenges:

  • 1. Professionals from diverse academic backgrounds have little shared knowledge which causes major problems when planning & implementing online ed.
  • 2. Online instructors lack pedagogical background (e.g., constructivist approach, peer learning...)
  • 3. Voice of the clients (students) rarely heard

Diffusion of innovations (Rogers, 1995)

  • Why understand the innovation implementation process - 1. help understand why online learning initiatives succeed or fail; 2. how universities decide on policies that directly affect how instructors are required to deliver their courses
  • Diffusion: the process by which an innovation is communicated through certain channels over time among the members of a social system (Rogers, 1995)
  • Adopter (individual or organization) types: Innovators, Early Adopters, Early Majority, Late Majority, and Laggards.
  • Three types of innovation decisions: 1. Optional (problem: member vs. system); 2. Collective (problem: time-consuming, costly) ; 3. Authority (problem: online learning companies take advantage) - reflection: can web 2.0 change the landscape?
  • Disruptive technology (Christensen, 1997) - organizations are reluctant to venture into more risky but highly promising technologies (problem for web 2.0?)
  • Adoption stages: 1. knowledge; 2. persuasion; 3. decision; 4. implementation; 5. confirmation
  • Alternative of the change process (Fullan, 1991, p. 48): 1. initiation; 2. implementation; 3. continuation; 4. outcome
1. The initiation stage (intent): (1) selective perception; (2) attitudes forming (Contemplators, Adopters, & Rejectors); (3) adopter's sense of control; (4) teaching, administrative, and research aspects; (5) companies effect; (6) peer opinion & professional community; (7) administrative support

2. The implementation stage (overt change of behavior): (1) online learning represents a major shift of power (from instructors to instructional designers and learners, universities to corporate learning environments, f2f content to online, and now web 2.0 vs. commercial approach?); (2) non-research universities implement online learning faster (e.g., U. of Phoenix); (3) peer support & strong professional community; (4) business schools are always early adopters (because they stay close with the business front?)

3. The continuation stage (sustainability): (1) administrative support; (2) professional development; (3) facilitative educational methods

4. The outcome stage (assessment): (1) increased ability to apply what has been learned; (2) higher degree of satisfaction among educators and learners; (3) lower employee turnover; (4) the opportunity to cascade certain theories or methods down through the organization via online learning; (5) increased administrative efficiency

Reference:

Engvig, M. (2006). Online learning: All you need to know to facilitate and administer online courses. Cresskill, NJ: Hampton Press.

Christensen, C. M. (1997). The innovation dilemma. New York: Harper Business.

Fullan, M. G. (1991). The new meaning of educational change. New York: Teachers College Press.

Thursday, August 27, 2009

Expecting Snow Leopard!

August 28th!

Cannot wait to enjoy the new Snow Leopard operating system! To me the most attractive features are its (1) QuickTime X and (2) the innovative Chinese character input:

(1) With a single click, QuickTime Player can now capture audio or video using the built-in camera and microphone in your Mac. You can easily trim media to the perfect length, then send it to iTunes for syncing to an iPhone, iPod, and Apple TV. You can also use QuickTime Player to publish your media to MobileMe or YouTube — without worrying about codec formats or resolutions. QuickTime X takes Internet video streaming to new levels with support for HTTP live streaming. Unlike other streaming technologies, HTTP live streaming uses the HTTP protocol — the same network technology that powers the web. That means QuickTime X streams audio and video from almost any web server instead of special streaming servers, and it works reliably with common firewall and wireless router settings. HTTP live streaming is designed for mobility and can dynamically adjust movie playback quality to match the available speed of wired or wireless networks, perfect whether the video is watched on a computer or on a mobile device like iPhone or iPod touch.

(2) Until Snow Leopard, if you wanted to enter Chinese characters on a computer, you had to type in the phonetic spelling of Chinese words and the computer would convert them into proper Chinese characters. Snow Leopard offers a breakthrough new way to enter characters: You draw them right on the Multi-Touch trackpad in your Mac notebook. They’ll appear on the screen in a new input window, which recommends characters based on what you drew and lets you choose the right one. The input window even offers suggestions for subsequent characters based on what you chose.

Friday, March 20, 2009

Handbook on Educational Technology

Chronicle of Higher Education, March 19, 2009

U. of Manitoba Researchers Publish Open-Source Handbook on Educational Technology

Technology is changing the way students learn. Is it changing the way colleges teach?

Not enough, says George Siemens, associate director of research and development at the University of Manitoba’s Learning Technologies Centre.

While colleges and universities have been “fairly aggressive” in adapting their curricula to the changing world, Mr. Siemens told The Chronicle, “What we haven’t done very well in the last few decades is altering our pedagogy.”

To help get colleges thinking about how they might adapt their teaching styles to the new ways students absorb and process information, Mr. Siemens and Peter Tittenberger, director of the center, have created a Web-based guide, called the Handbook of Emerging Technologies for Learning.

Taking their own advice, they have outfitted the handbook with a wiki function that will allow readers to contribute their own additions.

In the its introduction, the handbook declares the old pedagogical model—where the students draw their information primarily from textbooks, newspapers, and their professors—dead. “Our learning and information acquisition is a mash-up,” the authors write. “We take pieces, add pieces, dialogue, reframe, rethink, connect, and ultimately, we end up with some type of pattern that symbolizes what’s happening ‘out there’ and what it means to us.” Students are forced to develop new ways of making sense of this flood of information fragments.

But Mr. Siemens said that colleges had been slow to appreciate this fact. “I don’t see a lot of research coming out on what universities might look like in the future,” he said. “If how we interact with information and with each other fundamentally changes, it would suggest that the institution also needs to change.” –Steve Kolowich

Wednesday, February 25, 2009

Frameworks for distance education research

1. Five options for DE
Map of Distance Education Technology Options (Adapted from McIsaac & Gunawardena, 1996).


2. Framework for DE research


Conceptual framework for studying distance education (Vrasidas & Zembylas, 2003)

3. Situated evaluation v quantitative approach?

Sunday, February 15, 2009

"Going global": The complexities of fostering intercultural understanding in a rural school using videoconferencing technology

Lee, M. M. (2004). "Going global": The complexities of fostering intercultural understanding in a rural school using videoconferencing technology. Unpublished dissertation, Indiana University, Bloomington.

Chapter 1. Introduction
  • Emphasis on internationalization of curricula
    • social change
    • general goals (Tye, 2002): a. broadening students' horizons; b. building critical thinking skills; better preparing young people for productive lives in a nation that belongs to an increasingly interdependent world community
  • Problems
    • Access & opportunities (Kim, 2001)
    • Individualization v. universalization (Kim, 2001)
    • cultural consciousness (Banks, 1997)
  • Midwestern State, Henderson School & International Studies for Henderson State Schools (ISHS)
  • Framing the study (p. 5)
    • Intercultural Education (Cushner, 1998)
    • International studies (Merryfield, 2001)
    • Videoconferencing technology (Cuban, 1986; Reznich, 1997; Roberts et al., 1990; Yoakam, 1995; Tiedemann, 2002 - 4 benefits of videoconferencing: a. It is direct communication with experts to enhance understanding of a subject matter; b. it heightens interest which improves motivation and retention; c. it overcomes time and distance constraints; d. it improves the spontaneity of guests)
    • ISHS
    • Interaction as instructional strategy (Lee & Paulus, 2001; Moore, 1993; Vygotsky, 1978 - ZPD; Bonk, Oyer & Medury, 1995 - social constructivist; Garrison, 1993, p. 16 - interaction; Gilert & Moore, 1998 - interaction)
  • Significance of the study
    • No research to substantiate the impact of ISHS
    • Rurual school's isolation
    • The findings provide insight into the understanding of complexities associated with cross-cultural encounters; suggest possible implications of this type of program for educators who want to develop learning environments where the students can be empowered with a sense of intercultural competence as members of a multicultural society
  • Research questions
    • How does a middle school social studies teacher in a racially homogenous middle school integrate an international sutdies program into his World Geography curriculum?
    • How do the middle school students understand and interpret their encounters with people from other countries through interactive videoconferencing technology?
Chapter 2. The Design of the Study (p. 18) ( qualitative research - Lincoln & Cuba, 1985; Merriam, 1998; Wolcott, 1992)
  • Definition of Ethnography (Creswell, 1998; Tedlock, 2000; Chambers, 2000)
  • My stance as a critical theorist (Critical theory - Poskewitz, 1999a, p.2) - look at the program as either
    • an intervention, the effectiveness of which is assessed by measuring the change in students' perception about other cultures (attitudinal change), or
    • an opportunity to introduce the students to other cultures in order to see their reaction to such an opportunity (naturalistic ethnographic approach)
  • Methodological implications
    • ethnographic method is helpful in providing detailed info about participants & their surroundings
    • Individualized interaction techniques (building rapport)
  • The research design
    • Outline of the study
      • Phase 1: Search for possible locations using Henderson State demographic statistics and select 5 possible sites
      • Phase 2: Meet w/ Mr. G and obtain his agreement for the implementation of ISHS into his curriculum
      • Phase 3: Make observations and acclimate to the setting (continued until Phase 7)
      • Phase 4: Begin ISHS. Conduct sutdent/teacher interviews. Begin observation and engage in preliminary analysis
      • Phase 5: ISHS presenters' interviews (for causal feedback). Ongoing observation.
      • Phase 6: Transcription of data and search for emerging themes. Ongoing observation.
      • Phase 7: Data analysis. Ongoing observation. (themes from interviews were compared to the observation - basis for coding. Triangulation)
      • Phase 8: Further interviews w/ the students (questions drawn upon based on the preliminary analysis). Ongoing observation.
      • Phase 9: Analysis and write-up.
    • Research site
      • Selection criteria (purposive sampling): a. social studies class in rural high school; b. teacher agreement on using ISHS for entire school year; c. culturally isolated & racially homogeneous
      • Instructional characteristics of the Eliot School (school vision)
      • Technology use in the Eliot School
      • Participants (students, teachers)
  • Data collection
    • Observation (regualr classes without ISHS; class during the ISHS sessions; hallways & cafeteria; school functions such as athletic events; school area & nearby towns) ; to minimize the researcher's obtrusiveness (as an Asian) by regrulating her visits to the public areas of the school so that the students would become accustomed to her presence; examples of the observation data
    • Document analysis (textbook; class assignments)
    • Interviews (student, teacher)
  • Data anaylsis (p. 45)
    • Reconstructive analysis & diglogical data generation (emerging themes; check understandings with teachers & locals)
    • Coding (repeated reading of the data - preliminary analysis; topics compared across the data and grouped into emerging themes. Peer debriefing; discussion with the faculty)
    • Discovering system relations (findings compared w/ larger social context - Carspecken, 1996): Hermeneutic-reconstructive anlysis emphasizes action orientations such as interpretive schemes within a culture; systems analysis emphasizes action consequences and the distribution of action conditions broadly throughout society
      • The findings from the school site were compared w/ info about the neighborhood & the town (community)
      • The findings were compared to the dominant discourse of the period that sutdents were exposed to from media sources and conversation w/ others outside of the school
  • Possible limitations of the study
    • Focus group interviews w/ the students (group form may have inhibitory effects)
    • My role as researcher/participant (3-fold role - involvement in the implementation; worked as presenter; conducting the research process)
    • The novelty factor of the videoconferencing technology
    • Myself as an international student (Hawthorne effect)
Chapter 3. "Bringing the world into the classroom": The ISHS program in session (p. 50)
  • Sections
  • Discussion
    • Emphasis on interaction
    • "Personalized narratives
    • Uses of other technologies
    • Presenter's characteristics
  • Other instructional interventions for intercultural awareness
    • Career talk with the ISHS outreach coordinator
    • Ms. Hilary's diversity program
Chapter 4. "Making it relevant": The teacher's use of the ISHS program (p. 82)
  • The teacher's personal values and views on education
    • Being a coach vs. being a teacher
    • Being tolerant vs. having strong moral convictions
  • 'No Child Left Behind' & issues of parental responsibilities
  • On instructional strategies
    • Increasing student motivation
    • Student-center pedagogy
    • Bringing in current affairs
  • "Making relevant": Integrating ISHS into the curriculum
  • The future use of ISHS (p. 101)
  • Discussion
    • ISHS as a "live" resource
    • Understanding Mr. Gordon's identity
Chapter 5. "Meeting the real person": The students' interpretation of the ISHS program (p. 105)
  • Students' interpretation of the "other": Constructing difference in school (Identity - Mead, 1934; Habermas, 1981; Kanpol & McLauren, 1995, Hall, 1996; Taylor, 1994; Schutz, 1970; Sleeter & Grant, 1991; Hall & du Gay, 1996)
    • Groups & labels (social class variations - Brantlinger, 1993) - being popular
    • Homosexuality (Allport, 1979, p. 87 - well-deserved reputation theory)
    • "Being popular": Power & legitimacy (Allport, 1979; Kanpol & McLaren, 1995)
    • Racism
  • Difference & the ISHS videoconferencing programs (Self-Other relations - Fine, 1994)
    • Interest in the exotic (Ashcroft et al., 2000, p. 94)
    • Americanized cultural forms & U.S.-centrism
    • "Coming from a real person": Authenticity & group essentialism
    • Differentiating vs. "othering"
  • Discussion
    • Popularity & racism: The discourse of exclusion (Sarup, 1996, p. 59)
    • Making sense of the difference (Cushner, 2003 - difference as diviation generates the sense of fear)
    • Oversimplification of other cultures
  • Possible reasons for the interpretation (p. 139)
    • Culture-specific approach to understanding other cultures (Cushner, 2003, p. 42)
    • Emphasis on ethnicism or "national character" (internally homogenous - Brah, 1997, p. 129)
    • View of culture as static (Kanpol & McLaren, 1995)
Chapter 6. Conclusions & implications for future research (p. 142)
  • Tentative conclusion
    • Positive response to ISHS
    • resulted in interpretations of culture emphasizing the exotic in some cases and in the search for Americanization in others
    • didn't result in an awareness of, or challenge to, an already established framework for understanding differences
  • Future implications
    • Providing a support system for the teacher
      • understanding how differnce is constructed
      • community of practice for social studies teachers (Wenger, 1998)
    • Implications for instructional design issues (Merryfield, 2001)
      • continuous implementation of ISHS
      • collaborative problem solving approach
      • teaching tolerance: providing instructional resources
      • collaboration between rural schools and universities
      • providing a panel of speakers
    • Administrative support for the ISHS program from the university
      • creating more tangible incentive for the presenters
      • creating additional partnership
    • For further research
      • further conceptualization of differences for particular contexts and learners
      • issues on curriculum design in social studies
      • teacher education for social studies
      • politics of international education
References

Appendix
  • Sample interview protocol for students
  • Sample interview protocol for teacher
  • Pre-survey questions for students
  • Reflection of the session (students)
  • Summary of events
  • Sample of preliminary analysis

Thursday, February 12, 2009

Globalization & Emerging Technologies

Interrelationships between globalization & DE (p. 649)
  • "Globalization implies that most people, if not all, are connected more or less contemporaneously with distant events, sometimes whether they like it or not. This 'time-space compression (Giddens, 1994, p.7) is not just limited to communications and transport, but also to economic activity. The social and cultural implications...are intimately connected." (Evans, 1997, p. 18)
  • The human experience is altering fundamentally within a globalizing world because of: a. the speed and interactivity of new communications media; b. the fusion of cultural conditions
The tensions between globalization and the ways of living and learning



3 generations of DE technologies (p. 652)
  1. "Correspondence Ed."
  2. Aduiovisual media (radio & TV)
  3. Computer-based communications technologies

Reference
Evans, T., & Nation, D. (2007). Globalization and emerging technologies. In M. G. Moore (Ed.), Handbook of distance education (2nd ed., pp. 649-659). Mahwah, NJ. Lawrence Erlbaum Associates.

Tuesday, February 10, 2009

Gill’s Conceptual Framework of Intercultural Interfacing

Following the conception of cultural interfacing at different levels in diverse context, Gill (2007) delineated three orders of gap of rationality:

This conception of the interface gives rise to a first order gap of rationality (conceptual gap) between what is termed ‘actuality’ (the experiencing that draws on past, present, and expectations of future) and ‘reality’ (the observed present). The second order gap of rationality arises from the design competency—gap between the conception and the model. The third gap of rationality of design is technical competency, the application gap. The cumulative affect of these gaps is that it can lead to the severe breakdown and disruptions of interaction. (pp. 642-643)

Gill (2007) pointed out that the tragedy of this breakdown is that the designers of the interface may not even be aware of the existence of such interfacing gaps, and they may come to “blame the frailty of the human rather than recognize the limitations of the observed reality” (p. 643). Such limitations prevent us from knowing the user from the use context. Therefore, he proposed a human-centered vision of the interface cultivated in the notion of the interdependence between the reality and the actuality – the symbiotic interface.

The symbiotic interface seeks an interdependent relationship between the personal, social and cultural roles (tacit dimension) and the functional (objective) roles of the user, thereby perceived as the “between-ness” interaction between the reality (objective world) and the actuality (tacit, practice) (p. 643). The “tacit” is defined as the interrelationship between the “personal” (feeling/experiencing) and “experiential” (collective experience/practice), which provides a “conceptual handle” (p. 646) to articulate interdependent (symbiotic) relationships between the “personal”, the “experiential” and the objective:

It can be argued that part of the “personal” knowledge can become part of the “experiential” dimension over time during the process of participation in a group, and that part of the “experiential” knowledge can become absorbed into the “objective” dimension over time through the process of collaboration. Following the similar argument, it is proposed that part of the “objective” knowledge can also be transferred to the “experiential” domain, and part of the “experiential” knowledge to the “personal” domain. It is further proposed that this symbiotic idea of transference between “personal” “experiential” and the “objective” provides an insightful framework for designing interfacing architectures for “in-between” interactions. It is this symbiotic notion of transference and “between-ness”, which provides an interdependent relationship between cognition and action, and thus the core concept of interfacing and collaboration. (p. 646)

The notion of symbiosis provides a conceptual basis to design interfacing architectures for the intercultural interactions. It provides a conceptual tool to find coherence between diversities, ambiguities and uncertainties of the human situation in seeking interdependence between the reality and actuality, between the objective and the tacit. This conceptual tool can be further combined with theories in educational technology and diffusion of innovations (Rogers, 1995) when considering distance education as an innovative learning approach.

Other concept:
"culture of the artificial" enables individuals (or groups) from two different cultural spaces to create a third artificial cultural space in which to meet and share and pool their common cultural experiences for a common purpose, while recognizing and accepting their cultural differences as a further resources for cross-cultural learning-valorizing of cultures (Gill, 2007).

Reference
Gill, K. S. (2007). Rethinking the cross-cultural interaction architecture. Artificial Intelligence and Society, 21, 639-647.

Monday, February 9, 2009

Context in instructional design


Tessmer and Richey (1997) define context as “a multilevel body of factors in which learning and performance are embedded” (p. 87). The importance of context and its impact on the instructional equation were discovered through context analysis or environmental analysis (Dean, 1994; Tessmer, 1990; Tessmer & Harris, 1992; Tiene & Futagami, 1987). According to Tessmer and Richey (1997), the designer (or design team) conducts a thorough review of the environmental factors that have direct bearing on learning during context analysis, then follows the analysis with conscious, informed decision making procedures to change the learning environment during the instructional design process.

A context analysis can be either similar to or different from needs assessment or needs analysis. The similarity is nested in a broad view of needs assessment (Eastmond, 1994) in which needs assessment is defined as “a systematic inquiry into the most important needs to be met” (p. 88). However, Dick and Carey (1996) assert that the needs assessment tends to focus on “the exact nature of an organizational problem and how it can be solved” (p. 18). This notion implies the distinction between needs assessment and context analysis, while the latter is interpreted as an examination of “physical and psychosocial factors that affect learning…a phenomenological approach to instructional design in that it seeks to describe the learning ‘as it is’ in the real world…” (Tessmer & Harris, 1992, p. 15).


Tessmer and Richey (1997) proposed a general model of the dimensions of context in which the authors classified three context types: orienting, instructional, and transfer. The first dimension, orienting context, addresses issues that influence learner motivation and preparedness. The second dimension, instructional context, includes the factors that are “directly involved in the delivery of instruction, the immediate physical, social and symbolic resources” (p. 91) surrounding the learner. The third, transfer context, describes the environment in which the learner will use his/her newly gained knowledge. Embedded in each of the three types of contexts are three levels of analysis: the learner, the immediate environment, and the organizational environment. A combination of the context types and levels provides a framework of the “multilevel” nature of context as reviewed earlier.


Information for the context analysis can be collected in a variety of ways, for example, data analysis (documents), interviews, site visits, surveys, and small group (team) discussions (Tessmer, 1990, p. 61). The variety of data sources help an investigator triangulate and verify information about the context (Tessmer & Richey, 1997). Dean (1994) further outlines seven ways that context analysis might address instructional design concerns. Data from context analysis can:
1. Identify those who can help guide the instructional design process.
2. Provide another way of specifying instructional goals and objectives.
3. Assist in developing appropriate learning activities.
4. Define the format of a program and describe the availability of equipment.
5. Identify which methods of instruction people accept or resist.
6. Frame an understanding of learner evaluation methods.
7. Elucidate critical summative evaluation components. (p. 66)
Tessmer and Richey present another perspective on the use of context analysis data with the following five steps:
1. Identify criteria for “successful” instruction.
2. Mitigate effect of inhibiting factors.
3. Install missing factors.
4. Secure or exploit facilitative factors.
5. Monitor the contextual factors of orienting, learning and transfer context during their continued implementation. (p. 104)

Model of cross-cultural interaction


Flowerdew and Miller’s (1995) model of cross-cultural interaction will help answer these questions. After carrying out a three-year ethnographic study on the interaction between American, British, and Australian lecturers and Hong Kong Chinese students, the two researchers proposed a four-element framework for analyzing second language lectures at four cultural levels—ethnic culture, local culture, academic culture, and disciplinary culture (see Figure 4).

The first element, ethnic culture, is defined as “social-psychological features which affect the behavior of students and which may contrast with the social-psychological make-up of Western lecturers” (p. 356). For example, the Chinese students’ Confucian heritage has place an emphasis on family value and respect for elders. However, their reluctance to express opinions in front of the teachers may be associated with another Asian value of saving face. A “high level of achievement motivation” (p. 358) is also considered pertinent to their ethnic culture.
The second element in this framework is that of local culture, which is defined as “aspects of a local setting with which the members of a particular society are familiar” (p. 359). An example was that the Chinese students expressed their complaints for the lectures’ lack of use of local examples when elucidating concepts in their presentations.

A third element is academic culture, which refers to “those features of the lecture situation which require an understanding of the particular academic values, roles, assumptions, attitudes, patterns of behavior, and so on” (p. 362). They note that academic culture is situated at several different levels: (a) within a group of countries (European nations for example), (b) at a nation level, (c) within a group of institutions, (d) in a given country, or (e) within a particular institution. In the case of the Hong Kong Chinese students, they have found that four features are involved. The first feature is that memorization is being used as a primary cognitive learning strategy. This strategy has been highly developed since a young age. The second feature is that the Confucian value for respect to teachers and the language barrier produce a significant avoidance of classroom interaction with teachers. A third observation is “the propensity of students to help each other” that is rooted in the Chinese “collectivist approach to social interaction” (p. 363). The fourth feature involves the lack of creativity on the part of students due to rigid examinations and assignments and “lacking in critical and original thought” (p. 365).

The fourth dynamic in this framework, disciplinary culture, is defined as “the theories, concepts, norms, terms, and so on of a particular academic discipline” (p. 366). It connotes that some disciplines may be common to different cultures, however, they may use different theories, concepts, and norms that are expressions of those cultures. Taking lecture structures for example, Flowerdew and Miller (1995) point out that the other-culture student is faced not only with learning lecture structures related to various disciplines but must also cope with the discourse features of English language.

Flowerdew and Miller suggest that their model may be useful to researchers and educators in the fields that involve oral instruction across cultural boundaries. However, they lament “there is a dearth of information as to the cross-cultural aspects of lectures which can assist Western lectures in teaching non-Western students” (p. 370).

Reference
Flowerdew, J., & Miller, L. (1995). On the notion of culture in L2 lectures. TESOL Quarterly, 29 (2), 345-373.

Cultural context and its implication for methodology


Cross-cultural psychology attends to broad ranges of situation drawn from a cross-section of cultures. The need to study behavior in more naturalistic contexts has been emphasized. This figure represents four relationships between environmental contexts and behavioral outcomes. Toward the top of the model are natural and holistic contexts and outcomes, while at the bottom are more experimental (controlled and reductionistic) (p. 228).


The ecological context is the “natural-cultural habitat” (Brunswik, 1957) or the “preperceptual world” (Barker, 1969), which consists of all the relatively stable and permanent characteristics of the habitat that provide the context for human action and includes the population-level variables such as ecological context, the sociopolitical context, and the general cultural and biological adaptations made by the group. Nested in the ecological context are the experiential context, situational context, and the assessment context. Paralleling these four contexts are four behavioral outcomes: customs, repertoire, actions, and scores.

Many researchers argue that behavior in its full complexity can only be understood within the context of the culture in which it occurs. The emic approach (Segall et al., 1990), which studies behavior from within the system, attempts to look at phenomena and their interrelationships (structure) through the eyes of the people native to a particular culture. Cultural anthropology, or ethnography, provides the method of participant observation for the researcher to look at norms, values, motives, and customs through the eyes of the members of a particular community.

Tuesday, February 3, 2009

Situated Evaluation

Bruce, B. C., & Rubin, A. (1993). Electronic Quills: A situated evaluation of using computers for writing in classrooms. Hillsdale, NJ: Lawrence Erlbaum.

1. Problems with the standard evaluation paradigms (p. 190)

- does not support showing why changes occur, how changes are different across settings, or how they relate to changes in the innovation (p. 197)

-The standard evaluation paradigm focuses on the innovation per se, on its properties, in the case of formative evaluation, or on its effects, in the case of summative evaluation. One consequences of technocentrism is that the process of change is conceptualized as a function of the innovation alone, or else it is effectively ignored.

  • most evaluations do not identify the reasons for the observed phenomena (do not say how the innovation can be improved, nor what aspect of it produced the measured effects)
  • Not being able to account for why changes occur means that it is questionable to generalize to other settings in which the innovation might be used
  • The development process often continues after the evaluation, so that most evaluations are effectively of innovations that no longer exist (without knowing more about the situation and process of use one cannot say whether initial results are still valid for the changed innovation)

2. Idealization v. Realization (p. 198)

  • Idealization: what the developers of an innovation intend(they see the innovation set in an idealized context and used in an idealized way - vision of the changed social system)
  • Realization: what happens when the innovation is realized in a particular social setting (the social system may or may not change at all, and if does change, it may not do so in accord with the developers' goals)

3. Situated evaluation (p. 177)

  • SE analyzes the varities of use of the innovation across contexts and emphasize the unique characteristics of each situation in which the innovation is used
  • Focus: innovation-in-use
  • Purposes: to understand the different ways in which the innovation is realized; to examine the various realizations of an innovation in different settings (p. 204)
    • Explain why the innovation was used the way it was
    • Predict the results of using the innovation
    • Identify dimensions of similarity and difference among settings
    • Improve the use of the innovation
    • Improve the technology
    • Identify variables for later evaluation
  • Procedure: SE cannot be proceduralized. It's a process of discovering relationships (p. 205)
    • The idealization of innovation
      • each innovation emerges from a theory (learning & teaching), articulated to varying degrees in documents about the innovation
      • inclusion of new technologies (tools & artifacts, prescriptions for use, support system)
    • The settings in which the innovation appears
      • cultural context (national, SES, linguistic diversity)
      • institutional context (the school & the classroom)
      • pedagogical context (academic goals of schooling, teacher's instructional role, students' roles in promoting their own learning, the nature of academic tasks, the social environment as the context for individual learning)
    • The realization of innovation
      • Understanding the reasons for change
      • Difference across settings
      • Change in the innovation
      • (research method: field notes, documents, interviews, videotapes, observation - essential to doing a situated evaluation, p. 210)

4. Comparison w/ traditional frameworks for evaluation (p. 213)

  • Fomative
    • Focus: Innovation
    • Audience: Developer
    • Purpose: Improve the innovation
    • Variability of setting: Minimized to highlight technology
    • Measurement tools: Observation/interview/survey
    • Time of assessment: During development
    • Results: List of changes to the technology
  • Summative
    • Focus: Effects of the innovation
    • Audience: user
    • Purpose: Decide whether to adopt innovation
    • Variability of setting: Controlled by balanced design or random sampling
    • Measurement tools: Experiment
    • Time of assessment: After initial development
    • Results: Table of measures contrasting groups
  • Situated
    • Focus: Social practices
    • Audience: User (but also developer)
    • Purpose: Learn how the innovation is used
    • Variability of setting: Needed for contrastive analysis
    • Measurement tools: Observation/interview
    • Time of assessment: During and after development
    • Results: Ethnography

Tuesday, November 4, 2008

Adult learning theory

Speck (1996) notes that the following important points of adult learning theory should be considered when professional development activities are designed for educators:

  • "Adults will commit to learning when the goals and objectives are considered realistic and important to them. Application in the 'real world' is important and relevant to the adult learner's personal and professional needs.
  • Adults want to be the origin of their own learning and will resist learning activities they believe are an attack on their competence. Thus, professional development needs to give participants some control over the what, who, how, why, when, and where of their learning.
  • Adult learners need to see that the professional development learning and their day-to-day activities are related and relevant.
  • Adult learners need direct, concrete experiences in which they apply the learning in real work.
  • Adult learning has ego involved. Professional development must be structured to provide support from peers and to reduce the fear of judgment during learning.
  • Adults need to receive feedback on how they are doing and the results of their efforts. Opportunities must be built into professional development activities that allow the learner to practice the learning and receive structured, helpful feedback.
  • Adults need to participate in small-group activities during the learning to move them beyond understanding to application, analysis, synthesis, and evaluation. Small-group activities provide an opportunity to share, reflect, and generalize their learning experiences.
  • Adult learners come to learning with a wide range of previous experiences, knowledge, self-direction, interests, and competencies. This diversity must be accommodated in the professional development planning.
  • Transfer of learning for adults is not automatic and must be facilitated. Coaching and other kinds of follow-up support are needed to help adult learners transfer learning into daily practice so that it is sustained." (pp. 36-37)
Speck, M. (1996, Spring). Best practice in professional development for sustained educational change. ERS Spectrum, 33-41.

Also see:
Principle's of Adult Learning
Adult Learning Theories
Andragogy and Technology
Adult learning theory & distance education
Application of adult learning theory

Handbook of Research on Educational Communications and Technology

Jonassen, D. H. (2004). (Ed.). Handbook of research on educational communications an technology (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.

Part I. Theoretical foundations for educational communications & technology

1. Behaviorism & instructional technology (Burton, Moore, & Magliaro, pp. 3-36)
  • The notion of the mind as computer has fallen into disfavor due to the mind-body separation-human as machines (Gardner v Skinner)
  • DE's "any time, any place" asynchronous learning - issues of scalability, cost effectiveness, maximization of the learner's time, value added have brought to the forefront behavioral paradigms

2.

Part II. Hard technologies

Part III. Soft technologies

Part IV. Instructional design approaches

Part V. Instructional strategies

Part VI. Instructional message design

Part VII. Research methodologies

Friday, October 24, 2008

3 Ways Web-Based Computing Will Change Colleges

3 Ways Web-Based Computing Will Change Colleges

Cloud computing, one of the latest technology buzzwords, is so hard to explain that Google drove a bus from campus to campus to walk students through the company’s vision of it.

After students sat through a demo at computers set up nearby, they boarded the bus and got free T-shirts. The bus only stopped at colleges that had already agreed to hand over their student e-mail service to Google, which offers to run it for colleges free (Microsoft has a similar service and made a similar road trip).

At first I wondered why Google needed to demonstrate its popular e-mail service. Didn’t students already know how to click send? But when I hopped on the bus at George Washington University last month, I saw that the demos highlighted all the other Web services in its Google Apps for Education e-mail package for colleges, which includes a Web-based word processor called Google Docs, a Web-based spreadsheet program, and other tools.

Those tools are the cloud computing part—the term usually refers to programs that run over the Internet rather than locally on a user’s computer. And Google officials explained that many students don’t yet know about those new Web-based services.

Google’s bus is just one of many signs that cloud computing is starting to shake up campus technology. In the next five years, Web-based computing will likely bring important changes in how students study, how scholars do research, and how college information-technology departments operate.

Here are the promises and the challenges:

Sharing From Everywhere

At a summer program at the Massachusetts Institute of Technology that I sat in on last year, I asked students whether they had stayed up all night at the library finishing their final group projects, as the program’s organizers had predicted. One of the students looked at me as if I were crazy. Yes, he had worked late—until about 3 a.m.—but he had been at home by himself. The students all contributed to a shared document using Google Docs, which anyone in the group could edit online from anywhere. All of the students were essentially logged in to the same computer (in this case off at Google somewhere), one adding a paragraph at the end, another changing the font, and another rewriting the title. There was no longer any need to worry about getting everyone in the same room at the same time.

Such virtual collaboration is a key benefit of running something like a word processor on the Internet instead of on an isolated PC. Students can easily ask parents or faraway friends to edit their term papers remotely without having to send clunky attachments. Or students can set up a shared online document or spreadsheet to plan the next big fraternity bash. And that’s what is already happening at many institutions.

For professors, having documents stored in the Internet cloud means they can easily move from their home offices to their university office to the classroom without worrying about leaving the latest copy of their lecture notes behind. They can just log into Google Docs, or Microsoft’s Office Live or some other networked service, from any location. And the cloud-computing tools make it easier for professors to collaborate with colleagues on scholarly papers, too, supporting the trend of interdisciplinary research.

Supercharging Research

Google and other companies may be the innovators in cloud computing for things like word processing, but colleges have been leaders in using cloud computing for research.

Specifically, many colleges are setting up systems that let professors tap into supercomputers over the Internet using a standard PC. Then there’s a closely related trend of grid computing, which allows colleges to string together normal computers working in tandem over the Internet to provide the equivalent firepower of a supercomputer. The cobbled-together approach has meant that small colleges that could never afford a room-size supercomputer can set up something with the same processing bang on the cheap.

Basically, cloud computing is bringing supercomputing to the mainstream of research. “You reduce the barrier to use advanced computing facilities,” says Craig A. Stewart, associate dean for research technologies at Indiana University. (He will be co-moderating a panel about the promise of cloud computing at this week’s annual conference of Educause, the higher-education technology group.) And that ease of use means historians will increasingly join climate experts in using supercomputers to tackle their problems, he predicts.

Reshaping IT Departments

Cloud computing is also leading colleges to band together to offer services. After all, because servers that run Web-based software can be anywhere, why not get together with a few other colleges to build a joint data center?

That is already happening in Virginia, where a consortium of more than a dozen colleges is building the Virginia Virtual Computing Lab. The system will let students or professors at the different institutions use their own computers to access specialized software, such as 3-D modeling programs. The idea is to bring the kind of programs usually found in college computer labs right to students wherever they are, and one day it might make old-fashioned computer labs obsolete.

The Virginia project is modeled on a system already up and running at North Carolina State University, and that virtual lab is being shared with two community colleges and the University of North Carolina system.

“Students can’t really tell where it is since they’re going over the Internet,” says Henry E. Schaffer, coordinator of special IT projects and faculty collaboration at North Carolina State. “With a normal broadband connection, it just works.”

Meanwhile, colleges will outsource some services that it makes more sense for a big consumer company to handle, like e-mail, saving the colleges money to go build the services that they can do better.

The Challenges

That’s the rosy vision, but there are downsides.

The main one is privacy. Storing all your research notes on Google’s servers, for instance, may make the contents easier for government agencies or others to subpoena than if the data were on personal computers, because of the inconsistencies in current law, according to Daniel J. Solove, a law professor at George Washington University who explores the issue in his book, The Digital Person: Technology and Privacy in the Information Age. Companies like Google may be tempted to mine that data down the road and sell it to advertisers, especially if those companies fall on hard times, he said in a recent interview. “I think we need better laws for data security,” he said. “It is a problem that has not yet been solved.”

Also, there are human obstacles to collaborations like Virginia’s virtual computer lab, so just because such projects make good sense doesn’t mean that colleges will be able to pull them off if partners have conflicting ideas of how they should operate.

A new book by Educause that is scheduled to be released this week at the group’s annual conference captures the mix of promise and confusion that cloud computing poses today. Called, The Tower and the Cloud: Higher Education in the Age of Cloud Computing, it offers more than a dozen essays with predictions about the next stage of computing on campus. The book’s introduction argues that a cloud is an apt metaphor for the shift ahead: Clouds get harder to see your way through as you walk into them.

“We are letting go of a known and trusted toehold,” the book contends, “in favor of an uncertain one.”

Monday, August 18, 2008

The Systematic Design of Instruction

The Dick & Carey systems approach model for designing instruction (Link)
  1. Identify instructional goal(s)
    • Performance analysis
    • Needs assessment
    • Job analysis
    • Clarifying instructional goals
    • Learners, context, and tools
    • Criteria for establishing instructional goals
  2. Conduct instructional analysis
    • Conducting a goal analysis
      • Verbal info
      • Intellectual skills
      • Psychomotor skills
      • Attitudes
      • Cognitive strategies
      • Goal analysis procedures
      • Analysis of substeps
    • Identifying subordinate skills and entry behaviors
      • Hierarchical approach
      • Procedural analysis
      • Cluster analysis
      • Subordinate skills analysis techniques for attitude goals
      • Combining instructional analysis techniques
      • Instructional analysis diagrams
      • Entry behaviors
      • The tentativeness of entry behaviors
  3. Analyze learners and contexts
    • Learner analysis
    • Collecting data for learner analysis
    • Analysis of performance context
    • Collecting data for performance context analysis
    • Analysis of learning context
    • Collecting data for learning context analysis
    • Public school contexts
    • Evaluation and revision of the instructional analysis
  4. Write performance objectives
    • Performance objective
    • Components of an objective
    • Derivation of behaviors
    • Derivation of conditions
    • Derivation of criteria
    • Process for writing objectives
    • Evaluation of objectives
    • The function of objectives
  5. Develop assessment instruments
    • Four types of criterion-referenced tests and their uses
    • Designing a test
    • Determining mastery levels
    • Writing test items
    • Setting mastery criteria
    • Types of items
    • Sequencing items
    • Writing directions
    • Evaluating tests and test items
    • Developing instruments to measure performances, products, and attitudes
    • Using portfolio assessments
    • Evaluating congruence in the design process
  6. Develop instructional strategy
    • Selection of delivery system
    • Content sequence and clustering
    • Learning components of instructional strategies
    • Learning components for learners of different maturity and ability levels
    • Learning components for various learning outcomes
    • Learning components for constructivist strategies
    • Student groupings
    • Selection of media and delivery systems
  7. Develop and select instructional materials
    • The delivery system and media selections
    • Components of an instructional package
    • Selecting existing instructional materials
    • The designer's role in material development and instructional delivery
    • Developing instructional materials for formative evaluation
  8. Design and conduct formative evaluation of instruction
    • Designing formative evaluations
    • Role of subject-matter, learning, and learner specialists in formative evaluation
    • One-to-one evaluation with learners
    • Small group evaluation
    • Field trial
    • Formative evaluation in the performance context
    • Formative evaluation of selected materials
    • Formative evaluation of instructor-led instruction
    • Data collection for selected materials and instructor-led instruction
    • Concerns influencing formative evaluation
    • Problem solving during instructional design
  9. Revise instruction
    • Analyzing data from one-to-one trials
    • Analyzing data from small-group and field trials
    • Revision process
    • Revising selected materials and instructor-led instruction
  10. Design and conduct summative evaluation
    • Expert judgment phase of summative evaluation
    • Field trial phase of summative evaluation
    • Comparison of formative and summative evaluations
Dick, W., Cary, L., & Carey, J. O. (2005), The Systematic Design of Instruction (6th Ed.). Boston, MA: Allyn & Bacon.

Other ID resources:

Monday, August 4, 2008

Professional Development

Solution for how campus leadership should facilitate change that must occur to meet the needs of contemporary, diverse nature of college students

I. Change Theory (Michael Fullan)

II. Diffusion of Innovation (Everrett Rogers, 1995): Diffusion is "the process by which an innovation is communicated through certain channels over time among the members of a social system...a kind of social change" (p. 5). People are inherently more or less predisposed to innovative behavior. Individual adoption rates of innovation are usually distributed along a bell shaped curve and can be grouped under five categories:
  1. Innovators (2.5%): Venturesome
  2. Early adopters (13.5%): Respect
  3. Early majority (34%): Deliberate
  4. Late majority (34%): Skeptical
  5. Laggards (16%): Traditional

III. CBAM (Concern-Based Adoption Model): for effective educational change to occur in the adoption of an innovation, there must be a change-facilitator who probes potential users to find out what their needs (concerns) are and uses available resources to meet these needs (Hord, Rutherford, Huling-Austin, & Hall, 1987, p. 30). Seven stages:
  1. Stage 0 (Awareness Stage in faculty): "I'm not concerned about technology-based distance education"
  2. Stage I (Information Stage): "I'd like to know more about tech-based distance ed."
  3. Stage II (Personal Stage): "How will using it affect me?"
  4. Stage III (Management Stage): faculty express concern about spending a great proportion of their time getting material ready.
  5. Stage IV (Consequences Stage): "How is my use affecting students?"
  6. Stage V (Collaboration Stage): "I'm concerned about relating what I'm doing with what other instructors are doing."
  7. Stage VI (Refocusing Stage): "I have some ideas about something that would work even better."
(Stage IV - VI faculty concerns are focused on the impact of tech)

IV. Apple Classrooms of Tomorrow (ACOT) studies

V. Reward Collaboration (Kezar)

Tuesday, July 29, 2008

Digital Storytelling: Capturing lives, creating communities

Lambert, J. (2006). Digital storytelling: Capturing lives, creating communities. Berkeley, CA: Digital Diner Press.

p. 142.
...historically, different technologies had been pushed into the classroom from above rather than in response to teachers' desires or needs. Consequently there was a history of resistance to technology by teachers, as technology often interfered with their classroom goals. The headaches of learning these new technologies and troubleshooting technical problems simple weren't worth it. Teachers for the most part have not felt comfortable with using technology themselves, which was reflected in how they imagined implementing it in their curriculum.

Teachers are tired. Teaching is a tiring profession. It is very emotional. Teachers are also tired of technology since it has been pushed into the schools from above fro years and rarely with any thought about as to how it would really integrate into actual classroom practice, or what teachers actually wanted to do, or about how how it impacts the relationships within a classroom that are so important.

Story is a much more effective repository of data than many research methodologies that use data points as metrics. When making digital stories, teachers are given a new way to be creative with artistic expression which is not encouraged in the context of their daily work. This re-energizes them about teaching by taking themselves back into the classroom and allows them to express it in a way they've never been able to.

Digital storytelling thus can be an action research tool, an iterative tool where the points of reflection develop a professional portfolio. The idea is to return to your earlier story, again and again, in each iteration, and have that shape the research questions and artifact collection over many semesters or years. (Can be very powerful!)

Self-empowerment; sense of audience (the public role became part of the process with digital storytelling); intense writing revision (much more careful critical reflection)

Reference:
Paull, C. (2002). Self-perceptions and social connections: Empowerment through digital storytelling in adult education. Unpublished dissertation, University of California, Berkeley, School of Education.

Understanding Media: The Extensions of Man

McLuhan, M. (1994). Understanding media: The extensions of man. Cambridge, MA: The MIT Press.

Other readings:

General
Campbell, J. (1988). The power of myth. New York: Doubleday.

Storytelling & Education
Bruner, J. (1996). The culture of education. Cambridge, MA: Harvard University Press.

Cognitive Theory, Psychology, and Narrative
Gardner, H. (1993). Frames of mind. New York: Basic Books.
Harvey, J. H. (1996). Embracing their memory: Loss and the social psychology of storytelling. Needham Heights, MA: Allyn & Bacon.
Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Routledge.

Interactive Digital Storytelling
Murray, J. H. (1997). Hamlet on the Holodeck: The future of narrative in cyberspace. New York: The Free Press.
Miller, C. H. (2004). Digital storytelling: A creator's guide to interactive entertainment (1st Ed.). Focal Press.

Educational Resources
Scott County, KY
David Jake's Educational Resources
UK Digital Storytelling in Education
University of Houston's Digital Storytelling Resources

Tuesday, July 1, 2008

Developing a Good College-Company Relationship


Are universities too cozy with industry? In certain respects, they are not cozy enough, says Anoop Gupta, corporate vice president of Microsoft’s education product group. The software company is gearing up for a conference in Paris next week, sponsored along with Unesco, called the Education Leaders Forum. In an interview with The Chronicle, Mr. Gupta said that higher education could be doing a better job of preparing students for life, and work, in the coming century.

“Absolutely there should be a tighter relationship,” Mr. Gupta said, noting that universities could integrate certification in particular software packages into their curriculum. (He cited a few examples of such software, which had Redmond, Wash., as their home address.)

But it’s about much more than creating workers for Microsoft, he said. “It’s about digital literacy,” about equipping graduates with the tools to be responsive to today’s fast-moving economy. Universities can do that, said Mr. Gupta—who was a professor at Stanford University for 11 years—without becoming tools themselves. —Josh Fischman

The Chronicle