From 72fc0f8d882b5f7b7fca92854bf91b2151061c0e Mon Sep 17 00:00:00 2001
From: Traboulsi <salam.traboulsi@hft-stuttgart.de>
Date: Thu, 26 Sep 2024 06:59:22 +0000
Subject: [PATCH] Update public/content/content.json

---
 public/content/content.json | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/public/content/content.json b/public/content/content.json
index b296b9d..eafb527 100644
--- a/public/content/content.json
+++ b/public/content/content.json
@@ -287,7 +287,7 @@
   },
   {
     "item": {
-      "title": "Learning Analytics Infrastruktur",
+      "title": "Integrative Framework for Designing Learning Analytics-Based Feedback Systems",
       "project": "KNIGHT",
       "author":
         {
@@ -300,8 +300,8 @@
       "project_is_on_going": true,
       "imageLink": "imgs/thumbnails/LA-lernenModell.png",
       "keywords": ["Learning Analytics", "Feedback", "Dashboard", "Student-centered"],
-      "description_en": "Ongoing research in the KNIGHT project’s Learning Analytics work package introduces an innovative framework for designing feedback systems in Learning Analytics (LA), harmonizing technical, psychological, and educational dimensions.",
-      "description_de": "Laufende Forschung im KNIGHT-Projekt im Arbeitspaket Learning Analytics stellt ein innovatives Framework für Feedback-Systeme in Learning Analytics (LA) vor, das technische, psychologische und pädagogische Dimensionen harmonisiert."
+      "description_en": "Ongoing research in the KNIGHT project within the Learning Analytics work package introduces an integrative framework for designing Learning Analytics-based feedback systems, considering cognitive, motivational, and self-related factors in a multi-layered model. Various types of feedback (descriptive, diagnostic, predictive, prescriptive) are connected with design and delivery strategies to ensure usability and acceptance.",
+      "description_de": " Laufende Forschung im KNIGHT-Projekt im Arbeitspaket Learning Analytics stellt ein integratives Framework zur Gestaltung von Learning Analytics -basierten Feedbacksystemen vor, das kognitive, motivationale und selbstbezogene Faktoren in einem mehrschichtigen Modell berücksichtigt. Verschiedene Feedbacktypen (deskriptiv, diagnostisch, prädiktiv, präskriptiv) werden mit Design- und Bereitstellungsstrategien verbunden, um Akzeptanz und Usability zu gewährleisten."
     },
     "refIndex": 14,
     "links": {
-- 
GitLab