Sistematic review research on artificial intelligence in the counseling profession

Ardimen, Ardimen; Dasril, Dasril; Tas’adi, Rafsel; Yulitri, Rina; Ramadhani, Diah Suci; Rozalina, Dila

doi:10.1063/5.0148809

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…Responsive services are intended for students who experience problems in online learning including strategies to deal with noise in online learning, lack of motivation and awareness in online learning, problems in using technology, and others [65]. Responsive services are realized through individual counseling services and group counseling with various counseling approaches and techniques, for example, counseling with cognitive behavior therapy approaches, rational emotive behavior therapy, reality approaches [66], ISSN: 2252-8822  Development of the noise questionnaire in the online learning process and … (Ardimen) 1371 muhasabah approaches [67], virtual-based counseling [68], [69] and others. Meanwhile, individual planning services are intended for students who have superior potential to support online learning and system support services.…”

Section: Discussionmentioning

confidence: 99%

Development of the noise questionnaire in the online learning process and implications for counseling

Ardimen,

Tas'adi,

Murisal

et al. 2024

IJERE

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Starting with online learning requires a lot of attention such as focus, comfortable sitting, and avoiding distractions such as noise. A noise questionnaire instrument is an evaluation tool designed to identify the experience of students in the online learning process. This instrument was developed based on a literature review on noise and online learning. The instrument first stage was given to 110 students and the instrument second stage was given to 460 students in seven universities in Indonesia, 99 male and 361 female respondents aged 18-30 years. The instrument was designed based on DeVito’s noise theory: physical noise, physiological noise, psychological noise, and semantic noise. The statistical test of the instrument used confirmatory factor analysis (CFA) to find the goodness of fit index model. The results of the noise instrument factor analysis show a fit model, acceptable validity, and high internal consistency (α=0.86). The findings of this study produce valid and reliable instruments for identifying noise indicators that are dominant in online learning activities. The results of identifying noise in online learning can be used to design guidance and counseling programs or plan actions to deal with noise in online learning according to the data obtained.

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