Skip to content

CoSIL with appropriate guidance as an approach for shifting science education to digital when in-person schooling is not viable

Design · All designs
Evidence · 1 claim (1 against) · 1 study (1 theoretical), q1 · 0 of 1 report an effect size · 1 claim rests on one study

Description

Computer-supported inquiry learning (CoSIL) with appropriate guidance is presented as an approach for moving science education online when in-person schooling is not viable, as highlighted by COVID-19. The author writes that "one approach to facilitate this shift, as reviewed by Zacharia et al. (2015), is to involve students in computer supported inquiry learning (CoSIL) with appropriate guidance." With knowledge of guidance forms and efficacy across inquiry phases, educators may "develop decent guidance so that students can experience scientific inquiry virtually as they used to do in-person."

Design Implications

Context

Requirements

  • Appropriate guidance tools matched to each phase of scientific inquiry

Constraints

  • The approach is framed for situations where in-person schooling is not viable

Target Learners

  • Science students in virtual or remote lab settings during school disruptions

Learning Goals

  • Experiencing scientific inquiry virtually, comparable to in-person inquiry

Claims

Examples

-

Key Sources

  • Zhai, X. (2021). Advancing automatic guidance in virtual science inquiry: from ease of use to personalization. Education Tech Research Dev, 69, 255–258. https://doi.org/10.1007/s11423-020-09917-8
Page metadata
Field Value
type design
id cosil-guided-digital-shift-approach
title CoSIL with appropriate guidance as an approach for shifting science education to digital when in-person schooling is not viable
description Computer-supported inquiry learning (CoSIL) with appropriate guidance is presented as an approach for moving science education online when in-person schooling is not viable, as highlighted by COVID-19.
status review
generated by process:settle-candidates on 2026-10-29
trust unverified — no one has confirmed this page's content
sources 1 — zhai-2021

Frontmatter is the page's machine-readable record — see the Schema & Guide.