ACADSTAFF UGM
| Title | : | A Preliminary Learner Assessment Framework On E-Learning |
| Author | : | |
| Date | : | 0 2021 |
| Abstract | : | Online learning can guide learners to achieve their abilities if done well based on some principles. One of them is applying an assessment that motivates learning and informs the level of achievement of learning outcomes. Therefore, assessment is an essential element in online learning scenarios. It is undeniable that assessment problems in face-to-face learning have the potential to occur in online learning, such as product-oriented assessments only; has not accommodated aspects of learning comprehensively; not yet accurate and objective, and lack of follow-up. This study proposes integrated performance analysis with decision support and recommendations in the assessment process to overcome these problems. The proposal is in the form of a model with four parts: learning outcome-based learning design; performance analysis with process mining; determining the level of ability using the Fuzzy Analytical Network Process (FANP) and 2-Tuple Fuzzy Linguistic, as well as knowledge-based recommendations. This model was introduced as an assessment model that can be applied to e-Learning in Indonesia. |
| Group of Knowledge | : | Ilmu Komputer |
| Original Language | : | English |
| Level | : | Internasional |
| Status | : |
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