Involving users to improve the collaborative Logical Framework

The Scientific World Journal

Volumn 2014, Issue , 2014, Pages

  Santos, Olga C ^a   Boticario, Jesus G ^a  

^a UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER NETWORK; COMPUTER PROGRAM; COOPERATION; EDUCATION; EVALUATION STUDY; HUMAN; METHODOLOGY; MIDDLE AGED; TEACHING;

ADOLESCENT; ADULT; AGED; ARTIFICIAL INTELLIGENCE; COMPUTER COMMUNICATION NETWORKS; COMPUTER-ASSISTED INSTRUCTION; COOPERATIVE BEHAVIOR; EDUCATION, DISTANCE; HUMANS; MIDDLE AGED; SOFTWARE;

EID: 84893873164     PISSN: None     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2014/893525     Document Type: Article

References (70)

1. Santos O. C., Rodríguez A., Gaudioso E., Boticario J. G., Helping the instructor to manage a collaborative task in a web-based learning environment. Proceedings of the International Conference on Artificial Intelligence in Education (AIED '03) 2003 153 162
2. NORAD, The Logical Framework Approach, Handbook for Objectives-Oriented Planning 1999 4th
3. Bayón A., Santos O. C., Couchet J., Boticario J. G., A framework to foster collaboration between students through a computer supported collaborative learning environment. Studies in Computational Intelligence 2011 350 193 219 2-s2.0-79953871103 10.1007/978-3-642-19814-4-9
4. Santos O. C., Boticario J. G., Raffenne E., Pastor R., Why using dotLRN? UNED use cases. Proceedings of the International Conference Free/Libre/Open Source Systems (FLOSS '07) 2007 195 212
5. Johnson D. W., Johnson R., Jonassen D., Cooperation and the use of technology. Handbook of Research on Educational Communications and Technology 2004 785 812
6. Soller A., Martinez A., Jermann P., Muehlenbrock M., From mirroring to guiding: a review of state of the art technology for supporting collaborative learning. International Journal of Artificial Intelligence in Education 2005 15 261 290
7. Anaya A. R., Boticario J. G., Application of machine learning techniques to analyse student interactions and improve the collaboration process. Expert Systems with Applications 2011 38 2 1171 1181 2-s2.0-77957257328 10.1016/j.eswa.2010.05.010
8. Anaya A. R., Boticario J. G., Content-free collaborative learning modeling using data mining. User Modelling and User-Adapted Interaction 2011 21 1-2 181 216 2-s2.0-79955910717 10.1007/s11257-010-9095-z
9. Magnisalis I., Demetriadis S., Karakostas A., Adaptive and intelligent systems for collaborative learning support: a review of the field. IEEE Transactions on Learning Technologies 2011 4 1 5 20 2-s2.0-80053122468 10.1109/TLT.2011.2
10. Israel J., Aiken R., Supporting collaborative learning with an intelligent web-based system. International Journal of Artificial Intelligence in Education Archive 2007 17 1 3 40
11. Järvenoja H., Järvelä S., Emotion control in collaborative learning situations: do students regulate emotions evoked by social challenges? British Journal of Educational Psychology 2009 79 3 463 481 2-s2.0-68249155334 10.1348/000709909X402811
12. Jones A., Issroff K., Learning technologies: affective and social issues in computer-supported collaborative learning. Computers and Education 2005 44 4 395 408 2-s2.0-10644268439 10.1016/j.compedu.2004.04.004
13. Calvo R. A., Incorporating affect into educational design patterns and frameworks. Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies (ICALT '09) July 2009 377 381 2-s2.0-70449338475 10.1109/ICALT.2009.88
14. van Velsen L., van der Geest T., Klaassen R., Steehouder M., User-centered evaluation of adaptive and adaptable systems: a literature review. The Knowledge Engineering Review 2008 23 3 261 281 2-s2.0-51149108307 10.1017/S0269888908001379
15. Dillenbourg P., Dillenbourg P., Introduction, what do you mean by collaborative learning? Collaborative Learning: Cognitive and Computational Approaches 1999 Oxford, UK Elsevier Science 1 19
16. Barkley E., Cross K. P., Major C. H., Collaborative Learning Techniques: A Practical Guide to Promoting Learning in Groups 2004 San Francisco, Calif, USA Jossey Bass
17. Nardi B. A., Context and Consciousness: Activity Theory and Human-Computer Interaction 1966 MIT Press
18. Koschmann T., Koschmann T., Paradigms shift and instructional technology. CSCL: Theory and Practice of an Emerging Paradigm 1996 Mahwah, NJ, USA Lawrence Erlbaum Associates 1 23
19. Winter M., McCalla G. I., An analysis of group performance in terms of the functional knowledge and teamwork skills of group members. Proceedings of the Workshop on User and Group Models for Web-Based Adaptive Collaborative Environments at International Conference on User Modeling (UM '03) 2003
20. Belbin M., Team Roles at Work 1993 Oxford, UK Butterworth-Heinemann
21. Axelrod R., The Evolution of Cooperation 1984 New York, NY, USA Basic Books
22. Davis B. G., Tools for Teaching 1993 San Francisco, Calif, USA Jossey Bass
23. Cranton K. P., No One Way: Teaching and Learning in Higher Education 1999 Toronto, Canada Wall and Emerson
24. Romero C., Ventura S., Educational data mining: a review of the state of the art. IEEE Transactions on Systems, Man and Cybernetics C 2010 40 6 601 618 2-s2.0-77958153220 10.1109/TSMCC.2010.2053532
25. Daradoumis T., Martínez-Monés A., Xhafa F., A layered framework for evaluating on-line collaborative learning interactions. International Journal of Human Computer Studies 2006 64 7 622 635 2-s2.0-33646145737 10.1016/j.ijhcs.2006.02.001
26. Boekaerts M., Pintrich P., Zeidner M., Handbook of Self-Regulation 2000 New York, NY, USA Academic Press
27. Bratitsis T., Dimitracopoulou A., Indicators for measuring quality in asynchronous discussion forae. Proceedings of the 12th International Workshop on Groupware (CRIWG '06) 2006 54 61
28. Strijbos J.-W., Fischer F., Methodological challenges for collaborative learning research. Learning and Instruction 2007 17 4 389 393 2-s2.0-34249907057 10.1016/j.learninstruc.2007.03.004
29. Redondo M. A., Bravo C., Ortega M., Applying fuzzy logic to analyze collaborative learning experiences in an e-learning environment. United States Distance Learning Association Journal 2003 17 2 19 28
30. Bratitsis T., Dimitracopoulou A., Martínez-Monés A., Marcos J. A., Dimitriadis Y., Supporting members of a learning community using Interaction analysis tools: the example of the Kaleidoscope NoE scientific network. Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies (ICALT '08) July 2008 Santander, Spain 809 813 2-s2.0-51849139477 10.1109/ICALT.2008.261
31. Talavera L., Gaudioso E., Mining student data to characterize similar behavior groups in instructured collaboration spaces. Proceedings of the Workshop on Artificial Intelligence in CSCL at 16th European Conference on Artificial Intelligence (ECAI '04) 2004 17 23
32. Kobsa A., Kownemann J., Pohl W., Personalized hypermedia presentation techniques for improving online customer relationships. 1999 German National Research Center for Information Technology
33. Dringus L. P., Ellis T., Using data mining as a strategy for assessing asynchronous discussion forums. Computers and Education 2005 45 1 141 160 2-s2.0-14744278261 10.1016/j.compedu.2004.05.003 (Pubitemid 40324862)
34. Meier A., Spada H., Rummel N., A rating scheme for assessing the quality of computer-supported collaboration processes. International Journal of Computer-Supported Collaborative Learning 2007 2 1 63 86 2-s2.0-34247223786 10.1007/s11412-006-9005-x
35. Hong W., Spinning your course into a web classroom-advantages and challenges. Proceedings of the International Conference on Engineering Education August 2001 6 10
36. Martínez A., Dimitriadis Y., Gómez-Sánchez E., Rubia-Avi B., Jorrín-Abellán I., Marcos J. A., Studying participation networks in collaboration using mixed methods. International Journal of Computer-Supported Collaborative Learning 2006 1 3 383 408 2-s2.0-33748679138 10.1007/s11412-006-8705-6 (Pubitemid 44394682)
37. Perera D., Kay J., Yacef K., Koprinska I., Mining learners' traces from an online collaboration tool. Proceedings of the Workshop Educational Data Mining at 13th International Conference of Artificial Intelligence in Education (AIED '07) 2007
38. Macarthur V., Conlan O., Using psychometric approaches in the modeling of abstract cognitive skills for personalization. Proceedings of the Worshop Lifelong User Modelling at Conference on User Modeling, Adaptation, and Personalization (UMAP '09) 2009
39. Steffens K., Self-regulation and computer based learning. Anuarion de Psicología 2001 32 2 77 94
40. Bull S., Kay J., Roll I., Aleven V., Metacognition and open learner models. Proceedings of the Workshop on Metacognition and Self-Regulated Learning in Educational Technologies at International Conference on Intelligent Instructoring Systems 2008 7 20
41. Paramythis A., Weibelzahl S., Masthoff J., Layered evaluation of interactive adaptive systems: framework and formative methods. User Modelling and User-Adapted Interaction 2010 20 5 383 453 2-s2.0-78650729548 10.1007/s11257-010-9082-4
42. Tang J. C., Findings from observational studies of collaborative work. International Journal of Man-Machine Studies 1991 34 2 143 160 2-s2.0-44949276858
43. Bradley M. M., Measuring emotion: the self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry 1994 25 1 49 59 2-s2.0-0028307950 10.1016/0005-7916(94)90063-9 (Pubitemid 24214918)
44. Russell J. A., A circumplex model of affect. Journal of Personality and Social Psychology 1980 39 6 1161 1178 2-s2.0-4644280844 10.1037/h0077714
45. Sonderegger A., Lalanne D., Bergholz L., Ringeval F., Sauer J., Computer-supported work in partially distributed and co-located teams: the influence of mood feedback. Human-Computer Interaction-INTERACT 2013 2013 8118 445 460 Lecture Notes in Computer Science 10.1007/978-3-642-40480-1-30
46. Solimeno A., Mebane M. E., Tomai M., Francescato D., The influence of students and teachers characteristics on the efficacy of face-to-face and computer supported collaborative learning. Computers and Education 2008 51 1 109 128 2-s2.0-43549108316 10.1016/j.compedu.2007.04.003 (Pubitemid 351680337)
47. Santo S. A., Virtual Learning, Personality, and Learning Styles 2001 62 ProQuest Information and Learning
48. García J. A. M., Monés A. M., Dimitriadis Y., Martínez R. A., Requies I. R., Avi B. R., Detecting and Solving Negative Situations in Real CSCL Experiences with a Role-Based Interaction Analysis Approach in Intelligent Collaborative e-Learning Systems and Applications 2009 246 Series Studies in Computational Intelligence
49. Santos O. C., Boticario J. G., Cabestrero R., Quirós P., Extending collaborative learning modeling with emotional information. 1009 Proceedings of the CEUR Workshops at 16th International Conference on Artificial Intelligence in Education (AIED '13) 2013 25 28
50. Couchet J., Santos O. C., Raffenne E., Boticario J. G., The tracking and auditing module for the OpenACS framework. Proceedings of the 7th OpenACS/LRN Conference 2008 Valencia, Spain
51. Santos O. C., Boticario J. G., Supporting a collaborative task in a web-based learning environment with artificial intelligence and user modelling techniques. Proceedings of the 6th International Symposium on Educative Informatics (SIIE '04) 2004
52. Anaya A. R., Boticario J. G., A domain-independent, transferable and timely analysis approach to assess student collaboration. International Journal on Artificial Intelligence Tools 2013 22 4 35 1350020 10.1142/S0218213013500206
53. Kalles D., Pierrakeas C., Analyzing student performance in distance learning with genetic algorithms and decision trees. Applied Artificial Intelligence 2006 20 8 655 674 2-s2.0-33745868949 10.1080/08839510600844946 (Pubitemid 44385653)
54. Breiman L., Bagging predictors. Machine Learning 1996 24 2 123 140 2-s2.0-0030211964 (Pubitemid 126724382)
55. Gama J., Gaber M. M., Learning From Data Streams: Processing Techniques in Sensor Networks 2007 Springer
56. Romero C., González P., Ventura S., del Jesus M. J., Herrera F., Evolutionary algorithms for subgroup discovery in e-learning: a practical application using Moodle data. Expert Systems with Applications 2009 36 2 1632 1644 2-s2.0-56349162269 10.1016/j.eswa.2007.11.026
57. Teng C., Lin C., Cheng S., Heh J., Analyzing user behavior distribution on e-learning platform with techniques of clustering. Proceedings of the Society for Information Technology and Teacher Education International Conference 2004 3052 3058
58. Santos O. C., Boticario J. G., User centred design and educational data mining support during the recommendations elicitation process in social online learning environments. Expert systems. The Journal of Knowledge Engineering 2013 10.1111/exsy.12041
59. Raffenne E., Santos O. C., Granado J., Couchet J J., Boticario G., Integrating OpenACS/dotLRN with an open and accessible service architecture framework. Proceedings of the 8th OpenACS/LRN Conference 2009
60. Epp C., Lippold M., Mandryk R. L., Identifying emotional states using keystroke dynamics. Proceedings of the 29th Annual Conference on Human Factors in Computing Systems (CHI '11) May 2011 Vancouver, Canada 715 724 2-s2.0-79958104972 10.1145/1978942.1979046
61. John O. P., Donahue E. M., Kentle R. L., The Big Five Inventory-Versions 4a and 54 1991 Berkeley, Calif, USA Institute of Personality and Social Research, University of California
62. Schwarcer R., Measurement of Perceived Self-Efficacy. Psychometric Scales for Cross-Cultural Research 1993 Berlin, Germany Freie Universität
63. Watson D., Clark L. A., Tellegen A., Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology 1988 54 6 1063 1070 2-s2.0-0024023344
64. Brooke J., Jordan P. W., Thomas B., Weerdmeester B. A., McClelland A. L., SUS: a "quick and dirty" usability scale. Usability Evaluation in Industry 1996 London, UK Taylor and Francis
65. Santos O. C., Rodríguez-Ascaso A., Boticario J. G., Salmeron-Majadas S., Quirós P., Cabestrero R., Stephanidis C., Antona M., Challenges for inclusive affective detection in educational scenarios. Universal Access in Human-Computer Interaction. Design Methods, Tools, and Interaction Techniques for EInclusion 2013 8009 566 575 Lecture Notes in Computer Science 10.1007/978-3-642-39188-0-61
66. D.'Mello S., Kory J., Consistent but modest: a meta-analysis on unimodal and multimodal affect detection accuracies from 30 studies. Proceedings of the 14th ACM International Conference on Multimodal Interaction 2012 31 38
67. Santos O. C., Salmeron-Majadas S., Boticario J. G., Emotions detection from math exer-cises by combining several data sources. 7926 Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED '13) 2013 742 745 Lecture Notes in Computer Science
68. Lang P. J., Bradley M. M., Cuthbert B. N., International Affective Picture System (IAPS): affective ratings of pictures and instruction manual. 2008 A-8 Gainesville, Fla, USA University of Florida
69. Sauro J., Measuring usability with the System Usability Scale (SUS). 2011, http://www.measuringusability.com/sus.php
70. Santos O. C., Boticario J. G., Manjarrés-Riesco A., Manouselis N., Drachsler H., Verbert K., Santos O. C., An approach for an affective educational recommendation model. Recommender Systems for Technology Enhanced Learning: Research Trends and Applications 2014 Springer