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Lavoué Elise Kazemitabar Maedeh Doleck Tenzin Lajoie Susanne P. Carrillo Rubiela Molinari Gaëlle 《Educational technology research and development : ETR & D》2020,68(1):269-292
Educational technology research and development - This paper studies learners’ emotion awareness in university level academic contexts as a first step to help learners regulate their... 相似文献
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Amanda Jarrell Jason M. Harley Susanne Lajoie Laura Naismith 《Educational technology research and development : ETR & D》2017,65(5):1263-1284
Students experience a variety of emotions following achievement outcomes which stand to influence how they learn and perform in academic settings. However, little is known about the link between student outcome emotions and dimensions of performance feedback in computer-based learning environments (CBLEs). Understanding the dynamics of this relationship is particularly important for high-stakes, competency-based domains such as medical education. In this study, we examined the relationship between medical students’ (N = 30) outcome emotion profiles and their performance on a diagnostic reasoning task in the CBLE, BioWorld. We found that participants could be organized into distinct emotion groups using k-means cluster analyses based on their self-reported outcome emotion profiles: an expected positive emotion cluster and negative emotion cluster and an unexpected low intensity emotion cluster. A clear relationship was found between emotion clusters and diagnostic performance such that participants classified to the positive emotion cluster had the highest performance; those classified to the negative emotion cluster had the lowest performance; and those classified to the low intensity emotion cluster had performance outcomes that fell between the other two. Our discussion focuses on the theoretical implications of emotion classification and design recommendations for learning environments and emotional interventions in computer-based contexts. 相似文献
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The present study crossed three knowledge of results summarizing techniques (single-trial KR, summary KR, and average KR) with two spacing conditions (KR on every fifth trial-20%- and KR on every trial-100%). Participants (n = 10 per group) performed 80 acquisition trials of a ballistic movement task involving both a temporal and spatial goal, followed by 30 immediate (10 min) and 30 delayed (2 days) no-KR transfer trials. For the spatial goal, performance was less accurate (absolute constant error) for the 20% spacing condition than the 100% condition during acquisition, but more accurate during delayed transfer. No effects were significant for variable error. For the temporal goal, performance was more accurate for the summary and average conditions than the single-trial KR condition; however, this effect was only present within the 20% spacing condition and only during Block 1 of acquisition. A similar effect held for variable error as well, except that the effect persisted for acquisition and transfer. It was concluded that the spacing of KR is more influential in promoting spatial accuracy than the summarizing of KR. 相似文献
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Eric G. Poitras Susanne P. Lajoie 《Educational technology research and development : ETR & D》2014,62(3):335-366
This article presents a methodology for modelling the development of self-regulated learning skills in the context of computer-based learning environments using a combination of tracing techniques. The user-modelling techniques combine statistical and computational approaches to assess skill acquisition, practice, and refinement with the MetaHistoReasoning tool, a single-agent system that supports inquiry-based learning in the domain of history. Data were collected from twenty-two undergraduate students during a 4-h session where user interactions were logged by the system. A logistic regression model predicted user performance in relation to a skill categorization task with 75 % accuracy. The manner in which users apply the skills that are acquired is then assessed through a rule-based reasoning system that allows the pedagogical agent to adapt instruction. The results show that the model allows the agent to detect instances when skills are inappropriately applied as well as what type of goal that is pursued by students. We discuss the implications of these user-modelling techniques in terms of sequencing instructional content and using the tutoring agent to deliver several types of discourse moves in order to enhance learning. 相似文献
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As a first step of a project on learning difficulties in elementary set theory, we carried out a study aimed at identifying
some of the difficulties encountered by a group of 21 mathematics majors taking a course on logic and set theory. In this
paper, we shall discuss one of the difficulties that we observed, namely a difficulty in conceiving a set as an object distinct
from its elements, i.e. failing to fully grant sets the status of objects. This difficulty may be related to the following
three types of errors that we observed in the students' first assignment: (1) confusing belonging and inclusion, (2) confusing
the union of sets A, B, C, ... with the set whose elements are A, B, C, … and (3) adding or deleting curly brackets. We shall present excerpts from the students' work illustrating these three
types of errors and explain how they may be related to a difficulty in conceiving a set as an object distinct from its elements. 相似文献
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Eric G. Poitras Tenzin Doleck Susanne P. Lajoie 《Educational technology research and development : ETR & D》2018,66(1):129-145
Ill-structured problems, by definition, have multiple paths to a solution and are multifaceted making automated assessment and feedback a difficult challenge. Diagnostic reasoning about medical cases meet the criteria of ill-structured problem solving since there are multiple solution paths. The goal of this study was to develop an adaptive feedback mechanism that is capable of identifying and responding to novice physician misconceptions by mining the log trace data of user interactions in BioWorld, a computer-based learning environment designed to support medical students in regulating their own diagnostic reasoning. We applied a series of text pre-processing algorithms to extract the linguistic features that characterized symptoms identified by 30 medical students solving three endocrinology cases: diabetes mellitus (type 1), Pheochromocytoma, and Hyperthyroidism. A subgroup discovery mining algorithm was applied in two steps. First, rules were induced to predict an incorrect diagnosis submitted as the final solution for a case on the basis of symptoms highlighted by medical students as being pertinent, that were in fact not pertinent. Second, rules were induced to predict a distractor hypothesis (an incorrect hypothesis listed as the most probable) during the differential diagnosis process while solving the case. The rule set discovered through the subgroup discovery task was shown to predict both incorrect and distractor hypotheses set by novice physicians while solving the case. We discuss the implications in terms of developing an adaptive feedback mechanism that can detect physicians’ misconceptions and errors during problem-solving as a means to deliver prompts and feedback that promote the acquisition of metacognitive monitoring and control skills. 相似文献
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Lila Lee Susanne P. Lajoie Eric G. Poitras Miriam Nkangu Tenzin Doleck 《Education and Information Technologies》2017,22(4):1623-1650
Learning to monitor and regulate one’s learning in an academic setting is a task that all students must engage in. Learning in “group” situations requires both self- and co-regulation. This research examines a case study of a small group of medical student interactions during an on-line problem based learning activity (PBL) where students learn to co-regulate their performance as they construct their understanding of how best to communicate bad news to patients. This paper introduces an approach for analyzing the group discourse to understand how collective knowledge building facilitates co-regulation. A mixed method analysis was used to analyze the case study data. A qualitative data analysis of verbal interactions was conducted to examine co-regulatory episodes. Collective knowledge building was examined by analyzing the group discourse for indicators of co-regulatory processes. The study follows two quantitative analyses: a frequency count analysis of types of questions asked by facilitators and students; and a sequential pattern mining for patterns of co-occurrences of learners’ discourse and co-regulation. 相似文献
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The effects of stimulus-incentive (S:IS) contingency, stimulus-response-incentive (S:R:IS) contingency, and stimulus-no-response-incentive (S:R:IS) contingency on the acquisition and maintenance of an instrumental approach-contact response in the rat were studied. The experiment, concerned mainly with the temporal distribution of responses, showed that (1) the S:IS contingency and the S:R:IS contingency produced the same temporal distribution of responses; (2) the S:R:IS contingency produced higher rates of response than the S:IS contingency; (3) the negative S:R:IS contingency did not completely eradicate already established responses; and (4)post-CS responding occurred on reinforced trials. Consideration of these results indicates that the critical factor determining the higher rates of response under the S:R:IS contingency may be the S:R:IS occasions experienced only in the instrumental procedure. 相似文献