Views
7 months ago

Advances in E-learning-Experiences and Methodologies

E-Learning Value and Student Experiences In the first study, data were collected in 2003 using an anonymous questionnaire distributed to 44 academics, 6 managers, and 75 students. Students and academics were selected from across the courses in the case programme. Managers represented the organization at a senior level. In the second study, data were collected from two sources: the statistical reports provided by BlackBoard (collated for the months of August, September, and October, 2004) and the responses to an anonymous questionnaire distributed to students. The questionnaire was sent at the end of 2004 to 730 participants in both “flexible” and “enhanced” courses (452 and 278 students respectively). Some of the findings of the two studies were reported in more detail by Sinclair (2003b), and by Petrova and Sinclair (2005). A framework for further analysis of the issues emerging from the findings of the studies is presented in the next section. A vALue FrAmework For e-LeArnIng The issue of “value” is central to the operation of most organizations operating in a competitive environment. In the business sector “value” can be many things, for example, offering valuable customer services. In the education sector the issue of value is broad, as there are so many stakeholders with differing viewpoints of what constitutes value. In this market-driven education environment, tertiary institutions need to establish their credentials within their niche market. Potential students need a reliable indicator of value to enable them to navigate the huge number of courses available without falling victim to unlicensed “Web-cowboy” operators and “digital diploma mills” (Hope, 2001) where the emphasis is on taking students’ money rather than on any real concern for the value of the students’ learning. Poor value can be reflected in students withdrawing from a course Figure 1. E-learning and stakeholder framework (Adapted from Petrova & Sinclair, 2005)

E-Learning Value and Student Experiences or not attending. Word of mouth can result in one disaffected student telling 10 others of their experience. This can mean a huge decrease in student enrolments as students take advantage of courses from other tertiary institutions. In the face of increasing costs tertiary institutions are looking at ways to decrease spending. Online courses are less constrained by infrastructure than face-to-face courses and have the potential to have a lower cost/student ratio. This can lead to a tertiary institution’s decision to choose quantity over the perceived value of the course (Heerema & Rogers, 2001). Institutions must realise that value should never be compromised as in market-driven environments students have the freedom of choice and will move if the value, in their eyes, deteriorates. It is interesting in all this discussion on value that McLoughlin and Luca (2001) consider that technology has yet to make significant improvements in the value of education being offered. This possibly reflects the current emphasis of online courses, which is to make education more accessible to students and replicate, rather than improve, what is in the face-to-face courses. If the perceived value of e-learning is lowered, the credibility of the course will ultimately diminish in the eyes of employers when graduates cannot meet expected outcomes. This will lead students elsewhere, as they would want a qualification that employers recognise. To ensure there is value in the worldwide online courses, several universities have joined global alliances such as the Global University Alliance (2000) and the World Alliance in Distance Education (2002). These alliances have focused on ensuring value in online learning and in providing students with a wide variety of quality online courses that they can access from different locations. Another way in which tertiary institutions and accrediting organizations have tried to increase the perceived value is by developing benchmarks for online courses (Sinclair, 2003a). In the United Kingdom (UK) the Quality Assurance Agency (2002) has developed distance learning guidelines at the request of the distance learning community in the UK who recognised the importance of having a code of practice to assure value in the offered courses (Cavanaugh, 2002). In the United States, the Institute for Higher Education Policy (2000) developed a list of 45 benchmarks and in Canada, the Canadian Association for Communication Education sponsored a project to develop quality distance education guidelines (Barker, 2002; FuturEd, 2002). Whilst these “solutions” to the issue of value may be appropriate they have a weakness in that they may be focused on the needs of the accrediting organizations and the tertiary institutions rather than on the needs of students and academics. The importance of a framework that looked at the perspectives of different stakeholders was highlighted in 2002 when the Council for Higher Education Accreditation (2002) held an international seminar where two of the three key speakers discussed the importance of a framework that ensured there was value in e-learning. These suggestions related to a proposal that accreditation of higher education should be part of the General Agreement on Trade in Services (GATS) of the World Trade Organization (Council for Higher Education Accreditation, 2002). This is a concern, as there is the potential that international bureaucrats rather than the education sector of each country would manage standards. Reflecting this concern, research was done to develop a framework that incorporated value from three stakeholders groups’ opinions—academics, students, and the management within the New Zealand University used in this case. Online learning was looked at as a whole and there was no distinction made between the two models of e-learning, that is, flexible and enhanced. This lack of distinction could have affected the results, especially if students perceived that the flexible component did not add value to the course. What could also affect results would be students who did not consider that the flexible component of

  • Page 2 and 3:

    Advances in E-Learning: Experiences

  • Page 4 and 5:

    Table of Contents Preface .........

  • Page 6 and 7:

    Chapter XIV Open Source LMS Customi

  • Page 8 and 9:

    Chapter III Philosophical and Epist

  • Page 10 and 11:

    of constructive and cooperative met

  • Page 12 and 13:

    Chapter XIV Open Source LMS Customi

  • Page 14 and 15:

    contents, learning contexts, proces

  • Page 16 and 17:

    xv these organizations do not get a

  • Page 18 and 19:

    xvii QuALIty In e-LeArnIng Before t

  • Page 20 and 21:

    allow that the teachers in training

  • Page 22 and 23:

    xxi ISO. (1986). Quality-Vocabulary

  • Page 24 and 25:

    Chapter I RAPAD: A Reflective and P

  • Page 26 and 27:

    RAPAD in fields such as law, engine

  • Page 28 and 29:

    RAPAD mystery to the new student. B

  • Page 30 and 31:

    RAPAD example, whereas Laurillard h

  • Page 32 and 33:

    RAPAD Ontologically, systems philos

  • Page 34 and 35:

    RAPAD information related processes

  • Page 36 and 37:

    RAPAD methods and techniques accord

  • Page 38 and 39:

    RAPAD 2. An introduction to learnin

  • Page 40 and 41:

    RAPAD then asked to reflect on and

  • Page 42 and 43:

    RAPAD Figure 4. A rich picture to h

  • Page 44 and 45:

    RAPAD Again using techniques from t

  • Page 46 and 47:

    RAPAD university preparation course

  • Page 48 and 49:

    RAPAD The third interface is at the

  • Page 50 and 51:

    RAPAD Knight, P.T., & Trowler, P. (

  • Page 52 and 53:

    RAPAD AddItIonAL reAdIngs Goodyear,

  • Page 54 and 55:

    A Heideggerian View on E-Learning t

  • Page 56 and 57:

    A Heideggerian View on E-Learning (

  • Page 58 and 59:

    A Heideggerian View on E-Learning s

  • Page 60 and 61:

    A Heideggerian View on E-Learning r

  • Page 62 and 63:

    A Heideggerian View on E-Learning o

  • Page 64 and 65:

    A Heideggerian View on E-Learning n

  • Page 66 and 67:

    A Heideggerian View on E-Learning M

  • Page 68 and 69:

    A Heideggerian View on E-Learning W

  • Page 70 and 71:

    Philisophical and Epistemological B

  • Page 72 and 73:

    Philisophical and Epistemological B

  • Page 74 and 75:

    Philisophical and Epistemological B

  • Page 76 and 77:

    Philisophical and Epistemological B

  • Page 78 and 79:

    Philisophical and Epistemological B

  • Page 80 and 81:

    Philisophical and Epistemological B

  • Page 82 and 83:

    Philisophical and Epistemological B

  • Page 84 and 85:

    Chapter IV E-Mentoring: An Extended

  • Page 86 and 87:

    E-Mentoring However, what is unders

  • Page 88 and 89: E-Mentoring baugh, & Williams, 2004
  • Page 90 and 91: E-Mentoring Table 2. Contact. Diffe
  • Page 92 and 93: E-Mentoring Table 10. Ethical impli
  • Page 94 and 95: E-Mentoring Table 15. Technology st
  • Page 96 and 97: E-Mentoring Table 21. Coaching. Bes
  • Page 98 and 99: E-Mentoring Table 27. Moment. Best
  • Page 100 and 101: E-Mentoring Moreover, existing rese
  • Page 102 and 103: E-Mentoring Kasprisin, C. A., Singl
  • Page 104 and 105: E-Mentoring Ensher, E. A., Heun, C.
  • Page 106 and 107: Chapter V Training Teachers for E-L
  • Page 108 and 109: Training Teachers for E-Learning FL
  • Page 110 and 111: Training Teachers for E-Learning ne
  • Page 112 and 113: Training Teachers for E-Learning A
  • Page 114 and 115: Training Teachers for E-Learning yo
  • Page 116 and 117: Training Teachers for E-Learning Di
  • Page 118 and 119: Training Teachers for E-Learning ht
  • Page 120 and 121: The Role of Institutional Factors i
  • Page 122 and 123: The Role of Institutional Factors i
  • Page 124 and 125: The Role of Institutional Factors i
  • Page 126 and 127: The Role of Institutional Factors i
  • Page 128 and 129: The Role of Institutional Factors i
  • Page 130 and 131: The Role of Institutional Factors i
  • Page 132 and 133: The Role of Institutional Factors i
  • Page 134 and 135: The Role of Institutional Factors i
  • Page 136 and 137: E-Learning Value and Student Experi
  • Page 140 and 141: E-Learning Value and Student Experi
  • Page 142 and 143: E-Learning Value and Student Experi
  • Page 144 and 145: E-Learning Value and Student Experi
  • Page 146 and 147: E-Learning Value and Student Experi
  • Page 148 and 149: E-Learning Value and Student Experi
  • Page 150 and 151: E-Learning Value and Student Experi
  • Page 152 and 153: E-Learning Value and Student Experi
  • Page 154 and 155: E-Learning Value and Student Experi
  • Page 156 and 157: Integrating Technology and Research
  • Page 158 and 159: Integrating Technology and Research
  • Page 160 and 161: Integrating Technology and Research
  • Page 162 and 163: Integrating Technology and Research
  • Page 164 and 165: Integrating Technology and Research
  • Page 166 and 167: Integrating Technology and Research
  • Page 168 and 169: Integrating Technology and Research
  • Page 170 and 171: Integrating Technology and Research
  • Page 172 and 173: Chapter IX AI Techniques for Monito
  • Page 174 and 175: AI Techniques for Monitoring Studen
  • Page 176 and 177: AI Techniques for Monitoring Studen
  • Page 178 and 179: AI Techniques for Monitoring Studen
  • Page 180 and 181: AI Techniques for Monitoring Studen
  • Page 182 and 183: AI Techniques for Monitoring Studen
  • Page 184 and 185: AI Techniques for Monitoring Studen
  • Page 186 and 187: AI Techniques for Monitoring Studen
  • Page 188 and 189:

    AI Techniques for Monitoring Studen

  • Page 190 and 191:

    AI Techniques for Monitoring Studen

  • Page 192 and 193:

    AI Techniques for Monitoring Studen

  • Page 194 and 195:

    AI Techniques for Monitoring Studen

  • Page 196 and 197:

    Chapter X Knowledge Discovery from

  • Page 198 and 199:

    Knowledge Discovery from E-Learning

  • Page 200 and 201:

    Knowledge Discovery from E-Learning

  • Page 202 and 203:

    Knowledge Discovery from E-Learning

  • Page 204 and 205:

    Knowledge Discovery from E-Learning

  • Page 206 and 207:

    Knowledge Discovery from E-Learning

  • Page 208 and 209:

    Knowledge Discovery from E-Learning

  • Page 210 and 211:

    Knowledge Discovery from E-Learning

  • Page 212 and 213:

    Knowledge Discovery from E-Learning

  • Page 214 and 215:

    Knowledge Discovery from E-Learning

  • Page 216 and 217:

    Knowledge Discovery from E-Learning

  • Page 218 and 219:

    Knowledge Discovery from E-Learning

  • Page 220 and 221:

    Knowledge Discovery from E-Learning

  • Page 222 and 223:

    Chapter XI Swarm-Based Techniques i

  • Page 224 and 225:

    Swarm-Based Techniques in E-Learnin

  • Page 226 and 227:

    Swarm-Based Techniques in E-Learnin

  • Page 228 and 229:

    Swarm-Based Techniques in E-Learnin

  • Page 230 and 231:

    Swarm-Based Techniques in E-Learnin

  • Page 232 and 233:

    Swarm-Based Techniques in E-Learnin

  • Page 234 and 235:

    Swarm-Based Techniques in E-Learnin

  • Page 236 and 237:

    Chapter XII E-Learning 2.0: The Lea

  • Page 238 and 239:

    E-Learning 2.0 Table 1. Different s

  • Page 240 and 241:

    E-Learning 2.0 Figure 1. Difference

  • Page 242 and 243:

    E-Learning 2.0 where the blog is al

  • Page 244 and 245:

    E-Learning 2.0 process. Along this

  • Page 246 and 247:

    E-Learning 2.0 forth, and, of cours

  • Page 248 and 249:

    E-Learning 2.0 Finally, it is impor

  • Page 250 and 251:

    E-Learning 2.0 never be a hotchpotc

  • Page 252 and 253:

    E-Learning 2.0 McPherson, K. (2006)

  • Page 254 and 255:

    E-Learning 2.0 Rosen, A. (2006). Te

  • Page 256 and 257:

    Telematic Environments and Competit

  • Page 258 and 259:

    Telematic Environments and Competit

  • Page 260 and 261:

    Telematic Environments and Competit

  • Page 262 and 263:

    Telematic Environments and Competit

  • Page 264 and 265:

    Telematic Environments and Competit

  • Page 266 and 267:

    Telematic Environments and Competit

  • Page 268 and 269:

    Telematic Environments and Competit

  • Page 270 and 271:

    Telematic Environments and Competit

  • Page 272 and 273:

    Telematic Environments and Competit

  • Page 274 and 275:

    Open Source LMS Customization Intro

  • Page 276 and 277:

    Open Source LMS Customization or ev

  • Page 278 and 279:

    Open Source LMS Customization compa

  • Page 280 and 281:

    Open Source LMS Customization Figur

  • Page 282 and 283:

    Open Source LMS Customization Figur

  • Page 284 and 285:

    Open Source LMS Customization Figur

  • Page 286 and 287:

    Open Source LMS Customization Haina

  • Page 288 and 289:

    Evaluation and Effective Learning p

  • Page 290 and 291:

    Evaluation and Effective Learning r

  • Page 292 and 293:

    Evaluation and Effective Learning t

  • Page 294 and 295:

    Evaluation and Effective Learning p

  • Page 296 and 297:

    Evaluation and Effective Learning m

  • Page 298 and 299:

    Evaluation and Effective Learning c

  • Page 300 and 301:

    Evaluation and Effective Learning H

  • Page 302 and 303:

    Chapter XVI Formative Online Assess

  • Page 304 and 305:

    Formative Online Assessment in E-Le

  • Page 306 and 307:

    Formative Online Assessment in E-Le

  • Page 308 and 309:

    Formative Online Assessment in E-Le

  • Page 310 and 311:

    Formative Online Assessment in E-Le

  • Page 312 and 313:

    Formative Online Assessment in E-Le

  • Page 314 and 315:

    Formative Online Assessment in E-Le

  • Page 316 and 317:

    Formative Online Assessment in E-Le

  • Page 318 and 319:

    Formative Online Assessment in E-Le

  • Page 320 and 321:

    Formative Online Assessment in E-Le

  • Page 322 and 323:

    Formative Online Assessment in E-Le

  • Page 324 and 325:

    0 Chapter XVII Designing an Online

  • Page 326 and 327:

    Designing an Online Assessment in E

  • Page 328 and 329:

    Designing an Online Assessment in E

  • Page 330 and 331:

    Designing an Online Assessment in E

  • Page 332 and 333:

    Designing an Online Assessment in E

  • Page 334 and 335:

    Designing an Online Assessment in E

  • Page 336 and 337:

    Designing an Online Assessment in E

  • Page 338 and 339:

    Designing an Online Assessment in E

  • Page 340 and 341:

    Designing an Online Assessment in E

  • Page 342 and 343:

    Quality Assessment of E-Facilitator

  • Page 344 and 345:

    Quality Assessment of E-Facilitator

  • Page 346 and 347:

    Quality Assessment of E-Facilitator

  • Page 348 and 349:

    Quality Assessment of E-Facilitator

  • Page 350 and 351:

    Quality Assessment of E-Facilitator

  • Page 352 and 353:

    Chapter XIX E-QUAL: A Proposal to M

  • Page 354 and 355:

    E-QUAL is proposed to evaluate the

  • Page 356 and 357:

    E-QUAL provide competent, service-o

  • Page 358 and 359:

    E-QUAL 2004; Scalan, 2003) and qual

  • Page 360 and 361:

    E-QUAL benchmarks address technolog

  • Page 362 and 363:

    E-QUAL E-learning added two differe

  • Page 364 and 365:

    E-QUAL Table 6. Application of the

  • Page 366 and 367:

    E-QUAL Future trends The future of

  • Page 368 and 369:

    E-QUAL (EQO) co-located to the 4 th

  • Page 370 and 371:

    E-QUAL SMEs: An analysis of e-learn

  • Page 372 and 373:

    E-QUAL Meyer, K. A. (2002). Quality

  • Page 374 and 375:

    Compilation of References Argyris,

  • Page 376 and 377:

    Compilation of References Biggs, J.

  • Page 378 and 379:

    Compilation of References Cabero, J

  • Page 380 and 381:

    Compilation of References Comezaña

  • Page 382 and 383:

    Compilation of References Downes, S

  • Page 384 and 385:

    Compilation of References Fandos, M

  • Page 386 and 387:

    Compilation of References national

  • Page 388 and 389:

    Compilation of References Hudson, B

  • Page 390 and 391:

    Compilation of References Harbour.

  • Page 392 and 393:

    Compilation of References Little, J

  • Page 394 and 395:

    Compilation of References Metros, S

  • Page 396 and 397:

    Compilation of References ONeill, K

  • Page 398 and 399:

    Compilation of References Preece, J

  • Page 400 and 401:

    Compilation of References Sadler, D

  • Page 402 and 403:

    Compilation of References Shin, N.,

  • Page 404 and 405:

    Compilation of References tional Co

  • Page 406 and 407:

    Compilation of References Vermetten

  • Page 408 and 409:

    Compilation of References Yu, F. Y.

  • Page 410 and 411:

    About the Contributors Juan Pablo d

  • Page 412 and 413:

    About the Contributors part: “An

  • Page 414 and 415:

    About the Contributors María D. R-

  • Page 416 and 417:

    About the Contributors Applications

  • Page 418 and 419:

    Index e-learning tools, automated p

  • Page 420:

    Socrates 55 Sophists 55 student-foc

TOP - IRC - ACT - Advanced Communication Technologies
October 2007 Volume 10 Number 4 - Educational Technology ...
Advancing Collaborative Learning with ICT - The ICT Connection ...
Learn Hay Group's world renowned methodologies
Cameron final report 2009 - Office for Learning and Teaching
Social Network and E-Learning
RECENT ADVANCES in RISK MANAGEMENT ... - Wseas.us
Advances In Clinical Psychiatry - CME Activities
National Standards of Quality for Online Courses - K12HSN
RM Kaleidos Learning Platform - RM.com
Support for Learning Team - East Ayrshire Council
June New Rank Advancements N E W S L E T T E R - Synergy Pulse
Wings of Learning - Esmée Fairbairn Foundation
The Role of Student Affairs in Student Learning Assessment
Leading After-School Learning Communities - Utah Afterschool ...
HIV & AIDS and supportive learning environments; Good policy and ...
Parents and learning - National School Climate Center
Learning to Be Where We Are - Great Lakes Stewardship Initiative
the new girls' movement - Civic Practices Network
Introducing Netbook Pedagogies in Schools - European Schoolnet
Evaluating the Educational Progress of Young ... - Victoria University
MTM Advanced Pharmacy Practice Experience in Ambulatory Care
Organizational Change Management Methodology
The Joy of Learning - ACT - Advanced Communication Technologies
Non-inferiority trials: advances in concepts and methodology
Methodology for Monitoring and Assessment of the Level of ...