首页|Researcher at University of Costa Rica Publishes New Data on Artificial Intellig ence (El Assessing artificial intelligence and professors' calibration in Englis h as a foreign language writing courses at a Costa Rican public university)
Researcher at University of Costa Rica Publishes New Data on Artificial Intellig ence (El Assessing artificial intelligence and professors' calibration in Englis h as a foreign language writing courses at a Costa Rican public university)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting out of San Jose, Costa Rica, by Ne wsRx editors, research stated, "This article paper explores the evaluation of ar tificial intelligence (AI) in English as a Foreign Language (EFL) writing course s and the importance of calibration in writing evaluations. The role of calibrat ion has received little attention in language contexts, while the role of artifi cial intelligence has gained increased attention in the last couple of years." The news correspondents obtained a quote from the research from University of Co sta Rica: "This investigation, conducted from August 2022 to March 2023, involve d eight TESOL students enrolled in an English as a Foreign Language (EFL) major at a Costa Rican public university, ten TESOL university professors, and one AI piece of software. It used a quantitative, quasi-experimental design, and a lang uage elicitation data collection process. Data was collected by means of a rubri c-based writing assessment. Quantitative data were analyzed using descriptive st atistics. Data analyses indicate that: 1) humancreated paragraphs (X = 7,56) an d AI writing (X = 7,61) yield similar results when evaluated; 2) some criteria m ay favor human creativity or computer, rule-oriented writing; and 3) professors' ratings reveal inconsistencies when grading human writing in particular. These findings demonstrate that AI matches, at least to a basic level, human writing s kills." According to the news reporters, the research concluded: "Furthermore, data show that students may be falling behind in aspects such as grammar, vocabulary, and mechanics. Finally, the analysis indicates that professors' grading lacks consi stency, and a calibration model should be incorporated as part of regular traini ng workshops."
University of Costa RicaSan JoseCost a RicaNorth and Central AmericaArtificial IntelligenceEmerging Technologie sMachine Learning
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