![]() I am not running the highest specifications you can find in the market, but I was expecting better performance than what I have gotten. I have included screenshots in this post for your reference Hopefully someone from the technical department would be able to give me some advice. For some reason, it does not seem to be maximizing on all my 12 threads. And it seems like the software is only using my CPU 6, 7, 10 & 11. For most cases, my Graphics card is not really being utilized and it seems like the software is only using my CPU. ![]() Monitor the Utilization % of my CPU Cores and Graphics Card Increase Priority of Camtasia to realtime in Task Manager In areas of ripple deleting, the video freezes while audio continues to play Sometimes the video and the sound does not sync properly Preview clips (This may cause hangs, I have to end task through task manager) Dragging Videos from 1 track to anotherĥ. I would like to know if there is a config file that I should tweak or settings that I should have done.Ģ. I am wondering if there are some settings that I can do to the software so that it uses much more of my CPU threads or my Graphics card. Results indicated that the group receiving audio-recorded comments on their writing outperformed the latter in their content, and organization, while no significant difference was observed between the two groups in clarity and sentence-level accuracy.I am facing some problems with Camtasia 2020 performance. The treatment lasted for approximately two months, in which the participants received two different types of feedback to their writing (e.g., recorded oral feedback and metalinguistic written corrective feedback). In so doing, two different types of feedback (i.e., audio-recorded comments and metalinguistic written corrective feedback) were given to the learner writing in two groups respectively. In this study, the effect of recorded oral feedback to the writing of the English as a foreign language (EFL) learners was taken into scrutiny. As the first two types are believed to be very time-consuming and lots of workloads, recording comments, along with the advances in technology over the last decades, has opened new possibilities for feedback in the form of podcasts or other digitally recorded means. Providing feedback on writing is generally categorized into three types: written comments, individual conferences, and recorded oral feedback. While there is general agreement among learners, teachers, and scholars that constructive feedback on writing is necessary to revision, there are fewer consensuses on how feedback should be given, when, by whom, and what sort of feedback is most effective (Weigle, 2014). Based on the analysis of empirical studies using such technologies, effective feedback design was constructed to maximize the affordances of each technology that foster feedback dialogues, help to bring feedback from multiple sources, and encourage students to follow up with feedback. For each type of technology, we focus on one representative technology such as VoiceThread for a media sharing tool, a wiki for a collaborative tool, and Jing for a screen-casting tool. Then, to address such attributes, we propose effective feedback design using three types of free technologies - media sharing, collaborative, and screen-casting technologies. ![]() We first review literature on the attributes of feedback that impact its effectiveness. ![]() In this paper, we propose effective feedback design for online students using freely available technologies. Technologies can be used to enhance the effectiveness of feedback in online courses. However, providing students with effective feedback is challenging in online environments because of physical separation between students and instructors. Feedback plays a critical role in student learning and performance.
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