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filter_opacity="100" filter_blur="0" filter_hue_hover="0" filter_saturation_hover="100" filter_brightness_hover="100" filter_contrast_hover="100" filter_invert_hover="0" filter_sepia_hover="0" filter_opacity_hover="100" filter_blur_hover="0" animation_type="" animation_direction="left" animation_speed="0.3" animation_offset="" last="true" border_position="all" first="true"][fusion_title title_type="text" rotation_effect="bounceIn" display_time="1200" highlight_effect="circle" loop_animation="off" highlight_width="9" highlight_top_margin="0" before_text="" rotation_text="" highlight_text="" after_text="" title_link="off" link_url="" link_target="_self" hide_on_mobile="small-visibility,medium-visibility,large-visibility" sticky_display="normal,sticky" class="" id="" content_align_medium="" content_align_small="" content_align="left" size="6" animated_font_size="" fusion_font_family_title_font="" fusion_font_variant_title_font="" font_size="" line_height="" letter_spacing="" text_transform="" text_color="" hue="" saturation="" lightness="" alpha="" animated_text_color="" text_shadow="no" text_shadow_vertical="" text_shadow_horizontal="" text_shadow_blur="0" text_shadow_color="" margin_top_medium="" margin_right_medium="" margin_bottom_medium="" margin_left_medium="" margin_top_small="" margin_right_small="" margin_bottom_small="" margin_left_small="" margin_top="" margin_right="" margin_bottom="" margin_left="" margin_top_mobile="" margin_bottom_mobile="" gradient_font="no" gradient_start_color="" gradient_end_color="" gradient_start_position="0" gradient_end_position="100" gradient_type="linear" radial_direction="center center" linear_angle="180" highlight_color="" style_type="default" sep_color="" link_color="" link_hover_color="" animation_type="" animation_direction="left" animation_speed="0.3" animation_offset=""] Problemorientiertes Lernen mit Learning Analytics und Learning Semantics fördern [/fusion_title][fusion_text columns="" column_min_width="" column_spacing="" rule_style="" rule_size="" rule_color="" hue="" saturation="" lightness="" alpha="" content_alignment_medium="" content_alignment_small="" content_alignment="" hide_on_mobile="small-visibility,medium-visibility,large-visibility" sticky_display="normal,sticky" class="" id="" margin_top="" margin_right="" margin_bottom="" margin_left="" fusion_font_family_text_font="" fusion_font_variant_text_font="" font_size="" line_height="" letter_spacing="" text_transform="none" text_color="" animation_type="" animation_direction="left" animation_speed="0.3" animation_offset=""] PBL3.0 erweitert das prozessorientierte Lernen durch die Analyse von problemorientierten Lernansätzen und den Vergleich ihrer Bewertungsergebnisse. BOC bietet eine Modellierungsumgebung für geschäftsprozessorientierte Trainingsbewertungen. Website [/fusion_text][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container]

PBL3.0

Problemorientiertes Lernen mit Learning Analytics und Learning Semantics fördern

PBL3.0 erweitert das prozessorientierte Lernen durch die Analyse von problemorientierten Lernansätzen und den Vergleich ihrer Bewertungsergebnisse. BOC bietet eine Modellierungsumgebung für geschäftsprozessorientierte Trainingsbewertungen.

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By Michael Car|2022-09-06T19:39:30+00:0020. April 2022|Competence Management und Technology Enhanced Training|Kommentare deaktiviert

About the Author: Michael Car

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