OPeL: Online Prompting in eLearning. A New Tool to Foster Skills and Knowledge
Author(s):
Egon Werlen (presenting / submitting) Per Bergamin
Conference:
ECER 2014
Format:
Paper

Session Information

16 SES 07, Tools for Supporting and Learning Online

Paper Session

Time:
2014-09-03
17:15-18:45
Room:
B011 Anfiteatro
Chair:
Philippe Gabriel

Contribution

The objective of this work is to introduce a new tool for prompting sequences in a Technology Enhances Learning Environments (TELE) and to present results of the first implementations. We developed the Online Prompting eLearning (OPeL) for Moodle 1.9 and used it twice in two different courses at two applied universities.
There are two research questions for this paper: How is OPeL accepted by the learners? Permits OPeL to transfer knowledge and skills, i.e. does OPeL enhance the performance of the learners?

OPeL includes the self-estimation of one’s performance answering questions concerning (a part of) the content of a course. It permits to build sequences of questions and answers. The standard sequence is: problem/situation, question, students-solution, sample solutions, comparison of the solutions, comments. It’s possible to combine several sequences. We used it to prompt the content of a communication course and episodes of behaviour changes.

In education prompts are learning aids to increase recall and performance. Prompts range from general questions to explicit instructions. Prompts don’t teach new things, students already have the knowledge and skills, they help to remember, they direct the attention of the students on specific aspects of the learning process (Bannert, 2009). There is direct and indirect prompting. Direct prompting demands time and resources, they train strategies, which gain use and specific gain are learned in training sessions (Friedrich & Mandl, 1997, 1992). Indirect prompting initiates and enhances specific learning and regulation activities even without the conscious awareness of the learner. They consist of learning aids integrated in the learning environment (Friedrich & Mandl, 1997, 1992). Generally, in e-learning courses indirect prompting is used. To our knowledge there is no generally accepted classification of prompts.

Bannert (2009) distinguishes thee types of prompts: 1) cognitive prompts (explanations prompts; support directly information processing of the learner), 2), meta-cognitive prompts (regulations prompts; support supervising and controlling of information processing ) and 3) motivational prompts (support the motivation of the learner). An other type is resource management prompting that optimizes the learning conditions.

Explanations prompts invite learners to explain topics to oneself, and to reason about learning strategies used (Bannert, 2006, 2007, 2009).

The discussion of learning transfer is older than a century (Barnett & Ceci, 2002). The topic of transfer was first described by the psychologists Thorndike and Woodworth (1901). However, the consensus on what is meant by transfer and to what extent it may by observed as well as what mechanisms drive it, is decidedly minimal (Barnett & Ceci, 2002). Traditionally, transfer means:

“the successful application of knowledge gained or acquired skills within the context of a demand which has never previously occurred in a situation of the acquisition of knowledge or skills” (Hasselhorn & Mähler, 2000, p. 86).

There is a growing tendency towards considering transfer to be a broadly based, productive and supportive implementation of acquired knowledge, skills and motivation, which corresponds to the present-day understanding of learning in the sense of an active and constructive process (De Corte, 2003). Therefore, there exist widely differing interpretations of the notion transfer (Hasselhorn & Mähler, 2000).

The transfer we expect to occur in a learning situation is proactive and positive. The dimension of the low- vs. high-road transfer depends on the conscious investment a person makes to learn and to apply new knowledge and skills and is therefore is connected with motivation and volition. We expect a high-road transfer. The dimension ‘proximal – distal’ transfer depends on the situations were and when the transfer will be measured. We measured proximal and distal transfer. 

Method

We implemented OPeL 2012 and 2013 in an online course of the Swiss Distance University of Applied Sciences (FFHS) to prompt interventions in behaviour changes. Participants came from four classes. The sample consisted of 31 German speaking adult students (94% females; age: 30-50 years). We used the grades of the course exam to measure performance. The second year we integrated a short evaluation questionnaire and measured the cognitive load of the prompting questions. 2011 and 2012, we used OPeL in the Valais University of Teacher Education (HEP VS) to prompt the transfer of communication knowledge into classroom. The students belonged to eight classes from the French and German speaking part of the Canton Valais. Totally, 148 students finished the course. They were about 20 to 30 years old, most of them were female (85%). We used the grades of the course exam to measure performance, and a questionnaire for the evaluation of OPeL. A subsample (n=42) was filmed while teaching in a class during a stage. The films were analysed with a video analysing tool (Noldus, 2010).

Expected Outcomes

Results: Students of the FFHS that worked through OPeL reached grades about 10% higher than the rest. They accepted the prompting tool very good, and rated it with an average of 8 (out of 10) points. Students of the HEP VS did not show higher grades on prompted topics. But in the filmed subsample we could observe better communication skills in the classroom. Because of the importance of OPeL in the communication course (e.g. amount of prompts) it was rated somewhat lower. Conclusions: OPeL is a very flexible tool to prompt knowledge and skills in online courses at Universities (and schools with younger students). It can be easy integrated in a Moodle course. The preparation of the sequences is easy, but it surly needs a good knowledge of the teaching subject. Generally, OPeL is very good accepted by students. But, it’s crucial to integrate it adapted to the content, learning material, and the students. Further, it’s important to motivate students to work with the prompting tool OPeL showing the usefulness and successfulness. First analyses of OPeL on the influence on the learning performance show promising results in different samples and different topics and learning material. OPeL helps to transfer knowledge from the online course to case examples, and from the learning situation (teacher education) to the teaching situation (teaching a class). Our next steps are to adapt OPeL to Moodle 2.x and to further evaluate its use in online courses with different contents, and with different learning materials.

References

Bannert, M. (2006). Effects of reflection prompts when learning with hypermedia. Journal of Educational Computing Research, 4, 359–375. Bannert, M. (2007). Prompts zur Unterstützung von Lernprozessen: Diskussion der Arbeitsgruppe [Prompting to support learning: A discussion]. 11. Fachtagung Pädagogische Psychologie, Berlin. Bannert, M. (2009). Promoting self-regulated learning through prompts. Zeitschrift für Pädagogische Psychologie, 23(2), 139-145. Barnett, S.M., & Ceci. S.J. (2002). When and where do we apply what we Learn? A taxonomy for far transfer. Psychological Bulletin, 128(4), 612-637. De Corte, E. (2003). Transfer as the productive use of acquired knowledge, skills, and motivations. Current Directions in Psychological Science, 12(4), 142 - 146. Friedrich, H.F., & Mandl H. (1992). Lern- und Denkstrategien – ein Problemaufriss. In H. Mandl & H.F. Friedrich (Eds.). Lern- und Denkstrategien [Learning and thinking strategies] (pp. 3–54). Göttingen: Hogrefe. Friedrich, H.F., & Mandl, H. (1997). Analyse und Förderung selbstgesteuerten Lernens. In F.E. Weinert & H. Mandl (Eds.). Enzyklopädie der Psychologie, DII/4, Psychologie der Erwachsenenbildung [Encyclopaedia of Psychology, DII/4. Psychology of adult education] (pp. 237-293). Göttingen: Hogrefe. Hasselhorn, M., & Mähler, C. (2000). Transfer: Theorien, Technologien und empirische Erfassung. In W. Hager, J-L. Patry, & H. Brezing (Eds.). Evaluation psychologischer Interventions-massnahmen [Evaluation of psychological interventions] (pp. 41 – 85). Bern: Huber. Noldus (2010). The Observer XT. The neXT generation of observation software. Reference Manual Version 10. Wageningen: Noldus Information Technology. Thorndike, E. L., & Woodworth, R. S. (1901). The influence of improve- ment in one mental function upon the efficiency of other functions: (I). Psychological Review, 8(3), 247–261.


Author Information

Egon Werlen (presenting / submitting)
Swiss Distance University of Applied Sciences (FFHS)
Institute for Research in Open-, Distance- and eLearning (IFeL)
Brig
Swiss Distance University of Applied Sciences (FFHS), Switzerland

Update Modus of this Database

The current conference programme can be browsed in the conference management system (conftool) and, closer to the conference, in the conference app.
This database will be updated with the conference data after ECER. 

Search the ECER Programme

  • Search for keywords and phrases in "Text Search"
  • Restrict in which part of the abstracts to search in "Where to search"
  • Search for authors and in the respective field.
  • For planning your conference attendance, please use the conference app, which will be issued some weeks before the conference and the conference agenda provided in conftool.
  • If you are a session chair, best look up your chairing duties in the conference system (Conftool) or the app.