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Motivational Processes in Online Learning: The Role of Tutorship for Laboratory Activities through the Semistructured Self-Evaluation Tests

机译:在线学习中的激励过程:通过半结构式自我评估测试,辅导对实验室活动的作用

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This contribution highlights the role of  affectiveprocesses in multimedia learning conducted by e-learning platform used in the General Psychology online laboratory activities, based on semistructured self-evaluation tests following the model proposed by Domenici (2005). These tests include items with a closed- and open-ended structure requiring the student to answer within space restrictions and, in some cases, within context simulations. This enables scorers to give generally univocal and objective scores thereby assuring high test validity and reliability. The focus is on the psychological aspects of the online tutor’s role and its effects on learning levels. Students who completed the online laboratory activities through the semistructured self-evaluation tests (n=252) obtained an average score of 27.7 in the objective examination; students who did not complete the activities or who never even started them (n=186) obtained an average score of 25.7. These differences are statistically significant (F1, 449=38.05;P<0.001). The advantages of online learning are highlighted: developing an active attitude towards learning, enabling the individualisation of learning, and strengthening motivation with regard to knowledge, self-assertiveness, and sociality. This motivational activation reinforces convergent and divergent cognitive skills, owing to the semistructured tests, which facilitate knowledge and study method acquisition.
机译:该贡献突出了情感过程在由通用心理学在线实验室活动中使用的电子学习平台所进行的多媒体学习中的作用,该学习基于遵循Domenici(2005)提出的模型的半结构式自我评估测试。这些测试包括具有封闭式和开放式结构的项目,要求学生在空间限制内以及在某些情况下在上下文模拟中回答。这使计分员能够给出总体上明确和客观的分数,从而确保了较高的测试有效性和可靠性。重点是在线辅导员角色的心理方面及其对学习水平的影响。通过半结构自我评估测试(n = 252)完成在线实验室活动的学生在客观考试中平均得分为27.7;未完成活动甚至从未开始活动的学生(n = 186)平均得分为25.7。这些差异具有统计学意义(F1,449 = 38.05; P <0.001)。强调了在线学习的优势:培养对学习的积极态度,实现学习的个性化,并增强关于知识,自信心和社交性的动力。由于半结构化测试,这种激励性激活增强了趋同和发散的认知技能,从而促进了知识和学习方法的获得。

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