Who prefers online teaching and learning? The relevance of students’ personal characteristics and learning strategies
Creators: name: Hermanns, Jolanda
name: Glowinski, Ingrid
Publisher: name: Progress in Science Education (PriSE)
Year: 2022

description: Background: Students’ learning is influenced by students’ personal characteristics and learning strategies. There are learning-oriented and grade-oriented students. To predict study outcome, the “big five personality characteristics” (Van Bragt et al., 2011) can be used. Those are extraversion, agreeableness, conscientiousness, emotional stability and autonomy as well as personal orientations on learning and students’ study approach. Other personality characteristics are for example motivation or students’ self-concept. Three learning strategies have been mentioned in the literature: cognitive, metacognitive and resource management learning strategies. Learning strategies can be defined as the learning behaviour and the attitudes behind this behaviour. Purpose: For online teaching in courses on STEM subjects, an online questionnaire was developed, used and evaluated. The study focusses on relationships associated with students’ preference for online teaching and a preference for classroom learning. The relationships between the students’ personal characteristics and attitudes and their general learning strategies towards online learning have been evaluated. Sample/Setting: The evaluation was conducted at a German university in the course “Organic chemistry for nonmajor chemistry students”. 71 students participated in the evaluation of the course in weeks 4-5. The students were informed on the use of their data for this study; ethical guidelines were followed. The students received a link for the online questionnaire and participated anonymously. Design Methods: Quantitative (online questionnaire) methods were used. The questionnaire consists of two parts: questions on longtime learning behavior and questions on online learning. For the items an explorative factor analysis was calculated for students’ personal characteristics, general learning strategies and the assessment of the online learning. This resulted in 17 subscales. In addition, Spearman correlations between personal characteristics and selected learning strategies and assessment of online learning have been calculated. A hierarchical regression analysis has been used for predicting a preference for online learning versus classroom learning. Results: Students’ enthusiasm and study satisfaction show a large correlation with their appreciation of online provided as learning resources during the online term. However, these personal characteristics of students show only small correlations with the preference for online learning and classroom learning. Positive correlations for online learning show negative for classroom learning. The relevant learning strategies (“effort”, “general time management”, “literature use”, “learning environment” and “control”) correlate mostly signficantly but always negatively in a small range with a preference for classroom learning. Poorly developed general learning strategies could let students prefer the less selfregulated learning. However, for predicting a preference for online learning, general learning strategies seem to have a limited value. The successful mastering of the requirements during the online term seems to be more relevant, independent from the expression of general learning strategies. Conclusions/implications for classroom practice and future research: The questionnaire can be used for evaluating online courses if the interest of the researcher or practitioner includes correlations between learning strategies and personal characteristics with the teaching method. By using the questionnaire, interesting insights into those correlations can be gained. Before teaching online courses, self-regulated learning (SRL) of students should be promoted as it is known that students can acquire and strengthen self-regulatory processes. It could help students acclimatize to the course requirements, general resources, and software resources. For future research it would be interesting to use the questionnaire in an online course after the promotion of students’ SRL. Keywords: organic chemistry, online-course, evaluation, personal characteristics of students, learning strategies
description: Progress in Science Education (PriSE), Vol. 5 No. 2 (2022)