Is it Merely a Question of “What” to Prompt or Also “When” to Prompt?
The Role of Point of Presentation Time of Prompts in Self-Regulated Learning
Abstract
The purpose of this study was to investigate whether the effectiveness of prompts depends on their point of presentation time in self-regulated learning. First, based on the cognitive load theory, we investigated whether presenting prompts during the learning process instead of before has a positive effect on the process and outcome of self-regulated learning. Second, based on an integration of the cognitive load theory and a model of learning regulation goals, we investigated whether presenting prompts during learning and according to a theoretically optimal course of learning regulation has a positive effect on the process and outcome of self-regulated learning. In an experimental study with a one-factorial between-subjects design, with “point of presentation time of prompts” as independent variable and strategy use as well as learning outcome as dependent variables, 95 students were randomly assigned to one of three conditions. During self-regulated learning in a computer-based learning environment on a physics domain, all conditions got the same prompts, whereas their point of presentation time differed (according to optimal regulation course/contrary to optimal regulation course/before learning). Results revealed that presenting prompts during learning instead of before had a positive effect on learning outcome. Results further revealed that adapting the presentation of prompts according to an optimal course of learning regulation did not have an additional positive effect on learning outcome. A mediator analysis showed that the effect of point of presentation time of prompts on learning outcome was mediated by strategy use during learning. Results are discussed with respect to new directions for assessment and support of self-regulated learning.
In dieser Studie wurde überprüft, ob die Effektivität von Prompts von ihrem Darbietungszeitpunkt beim selbstregulierten Lernen abhängt. Basierend auf der Cognitive Load Theorie wurde erstens untersucht, inwiefern die Darbietung von Prompts während des Lernens anstatt vor dem Lernen einen positiven Effekt auf den Prozess und das Ergebnis selbstregulierten Lernens hat. Basierend auf einer Integration der Cognitive Load Theorie und einem Modell der Lernprozessregulation wurde zweitens untersucht, inwiefern die Darbietung von Prompts während des Lernens und gemäß einem theoretisch optimalen Verlauf der Lernprozessregulation einen positiven Effekt auf den Prozess und das Ergebnis selbstregulierten Lernens hat. In einer experimentellen Studie mit einfaktoriellem between-subjects Design, mit dem Darbietungszeitpunkt von Prompts als unabhängige Variable und Strategienutzung sowie Lernerfolg als abhängige Variablen, wurden 95 Schülerinnen und Schüler randomisiert einer der drei experimentellen Bedingungen zugeteilt. Während des selbstregulierten Lernens in einer computerbasierten Lernumgebung zu einem physikalischen Lerninhalt erhielten alle drei Bedingungen dieselben Prompts, während ihr Darbietungszeitpunkt zwischen den Bedingungen variierte (gemäß dem optimalen Regulationsverlauf/entgegen dem optimalen Regulationsverlauf/vor dem Lernen). Die Ergebnisse zeigen, dass die Darbietung von Prompts während des Lernens im Vergleich zu vor dem Lernen einen positiven Effekt auf den Lernerfolg hat. Weiterhin zeigen die Ergebnisse, dass eine Anpassung der Darbietung von Prompts an den optimalen Regulationsverlauf keinen zusätzlichen positiven Effekt auf den Lernerfolg hat. Eine Mediatoranalyse ergab zudem, dass der Effekt des Darbietungszeitpunktes der Prompts auf den Lernerfolg über die Strategienutzung während des Lernens vermittelt ist. Abschließend werden die Ergebnisse im Hinblick auf neue Entwicklungen in der Erfassung und Förderung des selbstregulierten Lernens diskutiert.
References
2003). Transitioning from studying examples to solving problems: Effects of self-explanation prompts and fading worked-out steps. Journal of Educational Psychology, 95, 774–783.
(2004). Does adaptive scaffolding facilitate students’ ability to regulate their learning with hypermedia? Contemporary Educational Psychology, 29, 344–370.
(2003). Effekte metakognitiver Lernhilfen auf den Wissenserwerb in vernetzten Lernumgebungen [
(Effects of metacognitive support on knowledge acquisition in net-based learning environments ]. Zeitschrift für Pädagogische Psychologie, 17, 13–25.2006). Effects of reflection prompts when learning with hypermedia. Journal of Educational Computing Research, 4, 359–375.
(1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.
(2007). Do learning protocols support learning strategies and outcomes? The role of cognitive and metacognitive prompts. Learning and Instruction, 17, 564–577.
(1995). Training in self-explanation and self-regulation strategies: Investigating the effects of knowledge acquisition activities on problem solving. Cognition and Instruction, 13, 221–252.
(1999). Self-regulated learning: Where are we today. International Journal of Educational Research, 31, 445–457.
(2004). Assessment of cognitive load in multimedia learning with dual-task methodology: Auditory load and modality effects. Instructional Science, 32, 115–132.
(1999). All other things being equal: Acquisition and transfer of the control of variable strategy. Child Development, 70, 1098–1120.
(1994). Eliciting self-explanations improves understanding. Cognitive Science, 18, 439–477.
(2003). Prompting middle school science students for productive reflection: Generic and directed prompts. Journal of the Learning Sciences, 12, 91–142.
(2000). Scaffolding students’ knowledge integration: Prompts for reflection in KIE. International Journal of Science Education, 22, 819–837.
(1998). Scientific discovery learning with computer simulations of conceptual domains. Review of Educational Research, 68, 179–201.
(1980). Verbal reports as data. Psychological Review, 87, 215–251.
(1996). Effects of learning skills interventions on student learning: A meta analysis. Review of Educational Research, 66, 99–136.
(1993). Measuring component and sets of cognitive processes in self-regulated learning. Journal of Educational Psychology, 85, 591–604.
(2003). Comparing self-reports to traces of studying behavior as representations of students’ studying and achievement. Zeitschrift für Pädagogische Psychologie, 17, 159–171.
(1988). Dual space search during scientific reasoning. Cognitive Science, 12, 1–48.
(2005). Intelligence assessment with computer simulations. Intelligence, 33, 347–368.
(2000). The development of cognitive skills to support inquiry learning. Cognition and Instruction, 18, 495–523.
(2002). Der Einsatz von Lernstrategien in einer konkreten Lernsituation bei Schülern unterschiedlicher Jahrgangsstufen [
(The use of learning strategies in a concrete learning situation by students of different classes ]. Zeitschrift für Pädagogik, 45. Beiheft, 240–258.1999). Supporting learning of variable control in a computer-based biology environment: Effects of prompting college students to reflect on their own thinking. Journal of Research in Science Teaching, 36, 837–858.
(2001). Multimedia learning. Cambridge: Cambridge University Press.
(2006). Learning with concept and knowledge maps: A meta-analysis. Review of Educational Research, 76, 413–448.
(1990). Concept mapping: A useful tool for science education. Journal of Research in Science Teaching, 27, 937–949.
(1984). Learning how to learn. Cambridge: Cambridge University Press.
(2000). Fähigkeit zum selbstregulierten Lernen als fächerübergreifende Kompetenz [
(Self-regulated learning as cross-curricular competence ]. Retrieved May 28, 2008 from www.mpib-berlin.mpg.de/pisa/CCCdt.pdf.1983). Becoming a strategic reader. Contemporary Educational Psychologist, 8, 293–316.
(2006). PISA 2003: Dokumentation der Erhebungsinstrumente [
(PISA 2003: Documentation of test instruments ]. Münster: Waxmann.1983). The elaboration theory of instruction. In , Instructional-design theories and models: An overview of their current status (pp. 335–382). Hillsdale, NJ: Erlbaum.
(2005). Investigating the presentation and format of instructional prompts in an electrical circuit analysis computer-based learning environment. IEEE Transactions on Education, 48, 531–539.
(2001). FAM: Ein Fragebogen zur Erfassung aktueller Motivation in Lern- und Leistungssituationen [
(QCM: A questionnaire on current motivation in learning and performance situations ]. Diagnostica, 47, 57–66.2007). Würzburger Lesestrategiewissenstest für die Klassen 7–12 (WLST 7–12) [
(Würzburger test of reading strategy knowledge for grades 7–12 ]. Göttingen: Hogrefe.2001). Self-Monitoring zur Unterstützung des Transfers einer Schulung in Selbstregulation für Studierende. Eine prozessanalytische Untersuchung [
(Self-monitoring for supporting transfer of a training on self-regulation for students. A process-analytical study ]. Zeitschrift für Pädagogische Psychologie, 15, 181–197.1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.
(1997). An extended dual search space model of scientific discovery learning. Instructional Science, 25, 307–346.
(2005). The assessment of metacognitive skills: What can be learned from multi-method designs. In , Lernstrategien und Metakognition: Implikationen für Forschung und Praxis [
(Learning strategies and metacognition: Implications for research and practice ] (pp. 77–99). Münster: Waxmann.2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1, 3–14.
(1996). Hypotheseninstruktion und Zielspezifität: Bedingungen, die das Erlernen und Kontrollieren eines komplexen Systems beeinflussen [
(Hypothesis instruction and goal specificity: Conditions that affect learning and controlling a complex system ]. Zeitschrift für Experimentelle Psychologie, 43, 657–683.2000). Does motivation affect performance via persistence? Learning and Instruction, 10, 293–309.
(1986). The teaching of learning strategies. In , Handbook of research on teaching (3rd ed., pp. 315–327). New York: Macmillan.
(2006). How software technologies can improve research on learning and bolster school reform. Educational Psychologist, 41, 5–17.
(1998). Studying as self-regulated learning. In , Metacognition in education theory and practice (pp. 277–304). Mahwah, NJ: Erlbaum.
(2000). Measuring self-regulated learning. In , Handbook of self-regulation (pp. 531–566). Orlando, FL: Academic Press.
(2004). Selbstregulation von Lernprozessen [
(Self-regulation of learning processes ]. Münster: Waxmann.2006). Selbstregulation beim Lernen in interaktiven Lernumgebungen [
(Self-regulation while learning in interactive learning environments ]. In , Handbuch Lernstrategien [Handbook on learning strategies ] (pp. 172–184). Göttingen: Hogrefe.1989). Models of self-regulated learning and academic achievement. In , Self-regulated learning and academic achievement. Theory, research and practice (pp. 1–25), New York: Springer.
(2000). Attaining self-regulation: A social cognitive perspective. In , Handbook of self-regulation (pp. 13–39): San Diego, CA: Academic Press.
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