No abstract

No abstract

This quasi-experimental study explored how different online exam types differentiate learners’ academic achievement and perceived learning. The participants comprised 95 undergraduate students enrolled in an English course at a Turkish university in three groups, each taking a different type of quiz: with multiple-choice, open-ended, and mixed type questions. The results indicated that the academic achievement of the students in multiple-choice and open-ended groups increased and that quiz results improved the most for the multiple-choice group relative to the other groups. The study found a moderate level of significant relationship between cognitive and affective perceived learning and multiple-choice quiz scores. In addition, the study found a weak level of significant relationship between cognitive and affective perceived learning and mixed-design quiz scores, and between cognitive learning and the academic achievement scores of the mixed-design group. Semi-structured online interviews undertaken to further explain the quantitative data displayed positive influences of the different types of quizzes in terms of study behaviors and satisfaction. The findings of this study are expected to shed light for practitioners aiming to use different online assessment types.

During the Covid-19 pandemic, higher education shifted from face-to-face to online education and teachers had various perspectives about remedying the challenges of this mandatory situation. Drawing on the diffusion of innovation theory as a theoretical lens to better understand the change in the adoptions of the faculty during the pandemic, we surveyed 307 academics with an online questionnaire. The results indicated that the adopters in this study were innovators (11%), early adopters (23%), early majority (18%), late majority (22%), and laggards (26%), revealing somewhat different percentages from the values in the theoretical model. This can be explained by the fact that innovations that require an emergency situation bring about changes in the values of the adopter categories. Examining the questionnaire data, we categorised the results as support, functionality, guidance, interaction, adaptation and the features of synchronous lessons influencing the diffusion of innovation during the new emergency teaching condition. The adoption process was discussed through the factors influencing these dimensions. The implications of notable findings and directions for future studies have been provided. Implications for practice or policy: Academics may have better online learning experiences in various designs and applications at universities. Academics may be prepared for unexpected teaching situations with adequate and appropriate organisational, technical and learning support to achieve quality outputs. All educational institutions, academics, and universities in particular, can be guided to adopt technologies more easily and quickly in such situations as future pandemics, wars, etc.

No abstract